WEBVTT
Kind: captions
Language: en
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getting<00:00:05.100> an<00:00:05.190> aircraft<00:00:05.669> off<00:00:05.879> the<00:00:06.000> ground<00:00:06.270> is
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getting an aircraft off the ground is
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getting an aircraft off the ground is
something<00:00:06.899> that<00:00:07.020> millions<00:00:07.229> of<00:00:07.529> passengers
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something that millions of passengers
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something that millions of passengers
take<00:00:08.340> for<00:00:08.550> granted<00:00:08.760> every<00:00:09.240> day<00:00:09.740> but<00:00:10.740> actually
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take for granted every day but actually
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take for granted every day but actually
it's<00:00:11.639> quite<00:00:11.910> a<00:00:12.000> complex<00:00:12.480> problem<00:00:12.839> for<00:00:13.230> the
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it's quite a complex problem for the
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it's quite a complex problem for the
designers<00:00:13.889> of<00:00:14.040> air<00:00:14.190> and<00:00:14.639> for<00:00:15.450> air<00:00:15.629> travel
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designers of air and for air travel
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designers of air and for air travel
regulators<00:00:19.730> aircraft<00:00:20.730> have<00:00:20.910> to<00:00:21.030> operate
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regulators aircraft have to operate
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regulators aircraft have to operate
within<00:00:21.630> a<00:00:21.780> wide<00:00:22.020> margin<00:00:22.350> of<00:00:22.770> error<00:00:22.950> to<00:00:23.280> ensure
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within a wide margin of error to ensure
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within a wide margin of error to ensure
safely<00:00:24.540> and<00:00:24.780> the<00:00:25.380> ability<00:00:25.830> of<00:00:25.920> an<00:00:26.010> airplane<00:00:26.400> to
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safely and the ability of an airplane to
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safely and the ability of an airplane to
be<00:00:26.760> on<00:00:26.970> airport<00:00:27.390> is<00:00:27.690> affected<00:00:28.290> by<00:00:28.440> many
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be on airport is affected by many
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be on airport is affected by many
variables<00:00:29.930> the<00:00:30.930> airplane<00:00:31.350> is<00:00:31.650> required<00:00:32.070> to<00:00:32.250> be
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variables the airplane is required to be
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variables the airplane is required to be
able<00:00:32.430> to<00:00:32.579> accelerate<00:00:33.059> up<00:00:33.090> to<00:00:33.239> what<00:00:33.540> we<00:00:33.660> call
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able to accelerate up to what we call
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able to accelerate up to what we call
decision<00:00:34.260> speed<00:00:34.500> v1<00:00:34.829> and<00:00:35.280> then<00:00:35.609> stop<00:00:36.059> on<00:00:36.329> the
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decision speed v1 and then stop on the
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decision speed v1 and then stop on the
available<00:00:36.960> runway<00:00:37.289> the<00:00:38.100> heavier<00:00:38.429> you<00:00:38.670> are
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available runway the heavier you are
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available runway the heavier you are
obviously<00:00:39.449> the<00:00:40.289> longer<00:00:40.530> it's<00:00:40.739> going<00:00:40.829> to<00:00:40.890> take
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obviously the longer it's going to take
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obviously the longer it's going to take
to<00:00:41.190> accelerate<00:00:41.670> the<00:00:42.059> faster<00:00:42.420> you<00:00:42.480> have<00:00:42.570> to<00:00:42.690> get
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to accelerate the faster you have to get
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to accelerate the faster you have to get
going<00:00:42.989> initially<00:00:43.589> anyway<00:00:43.890> since<00:00:44.070> you're
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going initially anyway since you're
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going initially anyway since you're
carrying<00:00:44.460> more<00:00:44.579> weight<00:00:44.640> off<00:00:44.910> the<00:00:45.030> ground<00:00:45.239> and
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carrying more weight off the ground and
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carrying more weight off the ground and
the<00:00:45.899> longer<00:00:46.230> it's<00:00:46.320> going<00:00:46.409> to<00:00:46.469> take<00:00:46.559> to<00:00:46.769> stop<00:00:47.010> so
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the longer it's going to take to stop so
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the longer it's going to take to stop so
if<00:00:47.850> you<00:00:47.940> only<00:00:48.059> have<00:00:48.269> a<00:00:48.510> fixed<00:00:48.960> amount<00:00:49.050> of
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if you only have a fixed amount of
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if you only have a fixed amount of
runway<00:00:49.589> you're<00:00:50.399> going<00:00:50.519> to<00:00:50.609> have<00:00:50.699> a<00:00:50.730> certain
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runway you're going to have a certain
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runway you're going to have a certain
weight<00:00:51.239> limit<00:00:51.570> the<00:00:51.929> other<00:00:52.109> requirement<00:00:52.649> that
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weight limit the other requirement that
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weight limit the other requirement that
we<00:00:52.829> have<00:00:52.859> is<00:00:53.190> we<00:00:53.280> have<00:00:53.370> to<00:00:53.460> be<00:00:53.519> able<00:00:53.609> to
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we have is we have to be able to
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we have is we have to be able to
maintain<00:00:53.879> a<00:00:54.359> certain<00:00:54.690> clime<00:00:55.409> gradient<00:00:56.010> after
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maintain a certain clime gradient after
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maintain a certain clime gradient after
takeoff<00:00:56.850> if<00:00:57.179> we<00:00:57.390> lost<00:00:57.629> one<00:00:57.899> engine<00:00:58.280> which
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takeoff if we lost one engine which
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takeoff if we lost one engine which
means<00:00:59.579> the<00:01:00.089> airplane<00:01:00.539> can<00:01:00.749> only<00:01:00.870> weigh<00:01:01.079> X
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means the airplane can only weigh X
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means the airplane can only weigh X
amount<00:01:01.829> for<00:01:02.159> a<00:01:02.219> given<00:01:02.550> day<00:01:02.729> it's<00:01:03.089> you<00:01:03.510> know
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amount for a given day it's you know
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amount for a given day it's you know
certain<00:01:03.929> temperature<00:01:04.320> in<00:01:04.409> elevation<00:01:04.920> the
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certain temperature in elevation the
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certain temperature in elevation the
airplane<00:01:06.180> will<00:01:06.360> only<00:01:06.450> climb<00:01:06.980> X<00:01:07.980> altitude<00:01:08.880> you
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airplane will only climb X altitude you
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airplane will only climb X altitude you
know<00:01:09.180> XP<00:01:09.540> per<00:01:09.720> minute<00:01:10.020> based<00:01:10.260> on<00:01:10.470> its<00:01:10.590> weight
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know XP per minute based on its weight
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know XP per minute based on its weight
the<00:01:11.270> airport<00:01:12.270> in<00:01:12.420> Aspen<00:01:12.870> sits<00:01:13.830> at<00:01:14.040> nearly
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the airport in Aspen sits at nearly
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the airport in Aspen sits at nearly
2,400<00:01:15.150> meters<00:01:15.660> above<00:01:16.080> sea<00:01:16.350> level<00:01:16.700> surrounded
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2,400 meters above sea level surrounded
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2,400 meters above sea level surrounded
by<00:01:17.850> high<00:01:18.150> mountain<00:01:18.660> peaks<00:01:19.010> this<00:01:20.010> high
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by high mountain peaks this high
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by high mountain peaks this high
altitude<00:01:20.430> and<00:01:21.090> terrain<00:01:21.780> makes<00:01:22.080> operating
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altitude and terrain makes operating
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altitude and terrain makes operating
passenger<00:01:23.220> aircraft<00:01:23.700> quite<00:01:23.970> challenging<00:01:24.980> at
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passenger aircraft quite challenging at
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passenger aircraft quite challenging at
this<00:01:26.220> altitude<00:01:26.430> aircraft<00:01:27.300> performance
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this altitude aircraft performance
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this altitude aircraft performance
declines<00:01:28.290> and<00:01:28.620> is<00:01:29.100> affected<00:01:29.550> even<00:01:29.670> more<00:01:30.120> when
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declines and is affected even more when
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declines and is affected even more when
the<00:01:30.510> temperature<00:01:31.020> rises<00:01:31.970> with<00:01:32.970> less<00:01:33.210> air<00:01:33.420> to
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the temperature rises with less air to
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the temperature rises with less air to
generate<00:01:34.170> lift<00:01:34.500> and<00:01:34.770> mountains<00:01:35.550> all<00:01:35.700> around
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generate lift and mountains all around
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generate lift and mountains all around
the<00:01:36.810> performance<00:01:37.320> of<00:01:37.530> the<00:01:37.620> aeroplane<00:01:37.980> becomes
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the performance of the aeroplane becomes
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the performance of the aeroplane becomes
critical
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critical
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critical
the<00:01:40.080> FAA<00:01:40.380> requires<00:01:40.890> certain<00:01:41.760> performance
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the FAA requires certain performance
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the FAA requires certain performance
minimums<00:01:42.780> out<00:01:43.230> of<00:01:43.440> all<00:01:43.560> the<00:01:43.680> airplanes<00:01:43.950> and<00:01:44.400> in
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minimums out of all the airplanes and in
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minimums out of all the airplanes and in
to<00:01:44.610> meet<00:01:44.820> that<00:01:45.060> performance<00:01:45.630> requirement
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to meet that performance requirement
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to meet that performance requirement
when<00:01:46.800> it<00:01:46.920> gets<00:01:47.070> warm<00:01:47.400> and<00:01:47.700> at<00:01:47.940> high<00:01:48.060> elevations
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when it gets warm and at high elevations
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when it gets warm and at high elevations
airplanes<00:01:49.170> have<00:01:49.320> to<00:01:49.410> leave<00:01:49.620> weight<00:01:49.830> behind<00:01:50.070> in
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airplanes have to leave weight behind in
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airplanes have to leave weight behind in
order<00:01:50.730> to<00:01:50.820> make<00:01:51.000> that<00:01:51.180> so<00:01:51.960> the<00:01:52.050> warmer<00:01:52.350> it<00:01:52.410> gets
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order to make that so the warmer it gets
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order to make that so the warmer it gets
the<00:01:52.800> less<00:01:53.460> weight<00:01:53.760> that<00:01:54.120> an<00:01:54.240> airplane<00:01:54.570> can
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the less weight that an airplane can
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the less weight that an airplane can
takeoff<00:01:55.050> at<00:01:55.320> and<00:01:55.530> at<00:01:55.590> the<00:01:55.710> same<00:01:55.920> altitude
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takeoff at and at the same altitude
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takeoff at and at the same altitude
essentially<00:01:57.270> and<00:01:57.890> being<00:01:58.890> up<00:01:59.010> at<00:01:59.130> 8,000<00:01:59.580> feet
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essentially and being up at 8,000 feet
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essentially and being up at 8,000 feet
that<00:02:00.240> means<00:02:00.540> a<00:02:00.750> lot<00:02:01.020> of<00:02:01.230> times<00:02:01.500> especially
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that means a lot of times especially
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that means a lot of times especially
during<00:02:02.370> the<00:02:02.490> summers<00:02:02.960> the<00:02:03.960> commercial
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during the summers the commercial
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during the summers the commercial
airlines<00:02:04.680> are<00:02:04.860> limited<00:02:05.310> in<00:02:05.400> the<00:02:05.460> maximum
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airlines are limited in the maximum
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airlines are limited in the maximum
weight<00:02:06.000> they<00:02:06.180> can<00:02:06.210> carry<00:02:06.720> obviously<00:02:07.350> you
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weight they can carry obviously you
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weight they can carry obviously you
can't<00:02:07.740> shave<00:02:08.250> off<00:02:08.459> much<00:02:08.729> fuel<00:02:09.119> so<00:02:09.869> the<00:02:09.989> only
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can't shave off much fuel so the only
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can't shave off much fuel so the only
thing<00:02:10.319> leave<00:02:10.499> behind<00:02:10.649> is<00:02:11.039> people<00:02:11.549> in<00:02:11.640> baggage
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thing leave behind is people in baggage
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thing leave behind is people in baggage
and<00:02:12.860> that's<00:02:13.069> what<00:02:13.189> they<00:02:13.280> have<00:02:13.370> to<00:02:13.489> do<00:02:14.140> as<00:02:15.140> a
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and that's what they have to do as a
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and that's what they have to do as a
consequence<00:02:15.829> commercial<00:02:16.790> aircraft<00:02:17.269> must
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consequence commercial aircraft must
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consequence commercial aircraft must
leave<00:02:18.019> passengers<00:02:18.709> behind<00:02:19.480> what's<00:02:20.480> a<00:02:20.629> safe
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leave passengers behind what's a safe
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leave passengers behind what's a safe
number<00:02:21.349> of<00:02:21.500> people<00:02:22.390> to<00:02:23.390> work<00:02:23.510> this<00:02:23.719> out<00:02:23.900> we
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number of people to work this out we
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number of people to work this out we
have<00:02:24.980> to<00:02:25.129> appreciate<00:02:25.700> the<00:02:25.879> idea<00:02:26.030> of<00:02:26.510> a<00:02:27.140> normal
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have to appreciate the idea of a normal
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have to appreciate the idea of a normal
distribution<00:02:31.420> people<00:02:32.420> on<00:02:32.540> average<00:02:32.689> are
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distribution people on average are
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distribution people on average are
getting<00:02:33.349> bigger<00:02:34.180> indeed<00:02:35.180> according<00:02:35.450> to<00:02:35.720> one
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getting bigger indeed according to one
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getting bigger indeed according to one
recent<00:02:36.170> study<00:02:36.500> one<00:02:37.220> in<00:02:37.250> ten<00:02:37.640> of<00:02:37.670> the<00:02:37.909> world's
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recent study one in ten of the world's
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recent study one in ten of the world's
adults<00:02:38.750> is<00:02:38.959> obese<00:02:39.220> that<00:02:40.220> is<00:02:40.400> having<00:02:40.879> a<00:02:41.030> body
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adults is obese that is having a body
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adults is obese that is having a body
mass<00:02:41.599> index<00:02:41.629> or<00:02:42.349> BMI<00:02:42.879> at<00:02:43.879> more<00:02:44.180> than<00:02:44.329> 30
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mass index or BMI at more than 30
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mass index or BMI at more than 30
researchers<00:02:46.579> have<00:02:46.730> studied<00:02:47.150> body<00:02:47.689> mass<00:02:47.989> index
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researchers have studied body mass index
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researchers have studied body mass index
cholesterol<00:02:49.939> levels<00:02:50.389> blood<00:02:51.260> pressure<00:02:51.739> and
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cholesterol levels blood pressure and
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cholesterol levels blood pressure and
tended<00:02:53.389> to<00:02:53.419> find<00:02:53.689> it<00:02:53.900> in<00:02:53.989> many<00:02:54.200> countries
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tended to find it in many countries
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tended to find it in many countries
blood<00:02:55.519> pressure<00:02:55.909> and<00:02:56.269> cholesterol<00:02:57.019> levels
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blood pressure and cholesterol levels
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blood pressure and cholesterol levels
have<00:02:58.400> been<00:02:58.579> falling<00:02:59.349> but<00:03:00.349> the<00:03:00.500> body<00:03:00.709> mass
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have been falling but the body mass
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have been falling but the body mass
index<00:03:01.519> has<00:03:02.389> tended<00:03:02.720> to<00:03:02.750> rise<00:03:03.109> in<00:03:03.709> the<00:03:04.519> UK<00:03:04.879> for
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index has tended to rise in the UK for
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index has tended to rise in the UK for
example<00:03:05.629> the<00:03:05.720> proportion<00:03:06.260> of<00:03:06.319> the<00:03:06.470> population
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example the proportion of the population
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example the proportion of the population
that's<00:03:07.310> obese<00:03:07.730> has<00:03:08.329> more<00:03:08.599> than<00:03:08.720> doubled
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that's obese has more than doubled
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that's obese has more than doubled
it's<00:03:10.980> easy<00:03:11.220> to<00:03:11.460> test<00:03:11.700> whether<00:03:12.510> medics
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it's easy to test whether medics
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it's easy to test whether medics
consider<00:03:13.440> your<00:03:13.740> obese<00:03:14.160> overweight<00:03:15.530> healthy
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consider your obese overweight healthy
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consider your obese overweight healthy
or<00:03:16.830> underweight<00:03:17.400> and<00:03:17.790> says<00:03:18.180> hey<00:03:18.450> 50p<00:03:19.440> to
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or underweight and says hey 50p to
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or underweight and says hey 50p to
measure<00:03:19.860> weight<00:03:20.400> high<00:03:20.700> and<00:03:20.970> BMI<00:03:21.510> or<00:03:22.970> I'll<00:03:23.970> be
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measure weight high and BMI or I'll be
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measure weight high and BMI or I'll be
mild<00:03:25.190> eighteen<00:03:26.190> point<00:03:26.460> five<00:03:26.700> to<00:03:26.940> 25<00:03:27.300> is
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mild eighteen point five to 25 is
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mild eighteen point five to 25 is
considered<00:03:28.470> healthy<00:03:29.510> 25<00:03:30.510> to<00:03:30.720> 30<00:03:31.290> is
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considered healthy 25 to 30 is
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considered healthy 25 to 30 is
overweight<00:03:32.420> over<00:03:33.420> 30<00:03:33.810> is<00:03:34.500> obese<00:03:35.930> let's<00:03:36.930> see
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overweight over 30 is obese let's see
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overweight over 30 is obese let's see
what<00:03:37.350> happens
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you<00:03:48.510> can<00:03:48.660> find<00:03:48.900> your<00:03:49.020> BMI<00:03:49.530> by<00:03:50.340> taking<00:03:50.760> your
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you can find your BMI by taking your
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you can find your BMI by taking your
weight<00:03:51.240> in<00:03:51.480> kilograms<00:03:51.720> and<00:03:52.520> dividing<00:03:53.520> by<00:03:53.670> the
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weight in kilograms and dividing by the
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weight in kilograms and dividing by the
square<00:03:54.000> of<00:03:54.480> your<00:03:54.690> height<00:03:54.990> in<00:03:55.230> meters<00:03:56.630> and<00:03:57.630> BMI
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square of your height in meters and BMI
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square of your height in meters and BMI
equals<00:03:59.160> W<00:04:00.120> over<00:04:00.810> H<00:04:01.020> squared<00:04:01.640> where<00:04:02.640> BMI<00:04:03.120> is
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equals W over H squared where BMI is
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equals W over H squared where BMI is
body<00:04:03.630> mass<00:04:03.720> index<00:04:04.910> W<00:04:05.910> equals<00:04:06.450> weight<00:04:06.959> in<00:04:07.170> kilos
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body mass index W equals weight in kilos
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body mass index W equals weight in kilos
and<00:04:08.300> the<00:04:09.300> height<00:04:10.130> H<00:04:11.130> is<00:04:11.820> the<00:04:12.240> height<00:04:12.420> in<00:04:12.660> meters
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and the height H is the height in meters
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and the height H is the height in meters
so<00:04:15.270> I<00:04:15.300> weigh<00:04:15.690> 79<00:04:16.590> kilograms<00:04:17.220> and<00:04:17.549> I'm<00:04:18.299> 1.8
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so I weigh 79 kilograms and I'm 1.8
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so I weigh 79 kilograms and I'm 1.8
meters<00:04:19.620> high<00:04:19.950> so<00:04:20.540> my<00:04:21.540> BMI<00:04:22.290> is<00:04:23.419> W<00:04:24.419> over<00:04:24.810> H
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meters high so my BMI is W over H
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meters high so my BMI is W over H
squared<00:04:25.880> which<00:04:26.880> equals<00:04:27.240> 79<00:04:28.110> over
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squared which equals 79 over
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squared which equals 79 over
1.8<00:04:30.180> squared<00:04:31.130> which<00:04:32.130> equals<00:04:32.990> 24.4<00:04:38.090> so<00:04:39.090> I<00:04:39.120> need
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1.8 squared which equals 24.4 so I need
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1.8 squared which equals 24.4 so I need
to<00:04:39.600> be<00:04:39.720> very<00:04:39.960> careful<00:04:40.470> now<00:04:40.590> if<00:04:40.890> I<00:04:41.100> have<00:04:41.220> to<00:04:41.340> stay
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to be very careful now if I have to stay
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to be very careful now if I have to stay
healthy
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although<00:04:45.690> obesity<00:04:46.290> rates<00:04:46.530> in<00:04:46.710> many<00:04:46.950> countries
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although obesity rates in many countries
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although obesity rates in many countries
across<00:04:47.550> the<00:04:47.760> world<00:04:47.940> are<00:04:48.360> increasing<00:04:48.990> and
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across the world are increasing and
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across the world are increasing and
although<00:04:50.010> obesity<00:04:50.820> is<00:04:50.940> linked<00:04:51.210> to<00:04:51.360> high<00:04:51.540> blood
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although obesity is linked to high blood
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although obesity is linked to high blood
pressure<00:04:51.930> and<00:04:52.560> cholesterol<00:04:53.210> mean<00:04:54.210> average
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pressure and cholesterol mean average
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pressure and cholesterol mean average
blood<00:04:55.020> pressure<00:04:55.380> and<00:04:55.680> cholesterol<00:04:55.890> levels
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blood pressure and cholesterol levels
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blood pressure and cholesterol levels
have<00:04:57.300> fallen<00:04:57.540> in<00:04:57.810> some<00:04:58.020> parts<00:04:58.350> of<00:04:58.440> the<00:04:58.500> world
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have fallen in some parts of the world
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have fallen in some parts of the world
not<00:05:01.530> everyone<00:05:02.010> is<00:05:02.160> overweight<00:05:03.030> indeed<00:05:03.690> summer
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not everyone is overweight indeed summer
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not everyone is overweight indeed summer
unhealthily<00:05:05.310> underweight<00:05:06.030> I<00:05:06.830> already<00:05:07.830> look
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unhealthily underweight I already look
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unhealthily underweight I already look
like<00:05:08.100> if<00:05:08.460> we<00:05:08.610> took<00:05:08.820> the<00:05:09.060> BMI<00:05:09.930> for<00:05:09.990> the<00:05:10.320> whole
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like if we took the BMI for the whole
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like if we took the BMI for the whole
population<00:05:10.919> and<00:05:11.690> plotted<00:05:12.690> that<00:05:12.720> distribution
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population and plotted that distribution
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population and plotted that distribution
many<00:05:14.820> would<00:05:15.060> cluster<00:05:15.540> around<00:05:15.660> the<00:05:16.020> mean
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many would cluster around the mean
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many would cluster around the mean
average<00:05:16.800> weight<00:05:17.040> some<00:05:17.790> below<00:05:18.090> average<00:05:18.270> and
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average weight some below average and
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average weight some below average and
some<00:05:19.110> above<00:05:19.410> a<00:05:19.820> few<00:05:20.820> way<00:05:21.150> below<00:05:21.570> and<00:05:21.840> a<00:05:22.320> few<00:05:22.560> way
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some above a few way below and a few way
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some above a few way below and a few way
above<00:05:24.020> so<00:05:25.020> this<00:05:25.200> is<00:05:25.320> what<00:05:25.470> the<00:05:25.620> picture<00:05:25.770> would
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above so this is what the picture would
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above so this is what the picture would
be<00:05:26.160> like<00:05:26.550> with<00:05:27.270> a<00:05:27.300> mean<00:05:27.630> average<00:05:27.900> BMI<00:05:28.410> for<00:05:29.040> many
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be like with a mean average BMI for many
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be like with a mean average BMI for many
societies<00:05:29.820> of<00:05:29.880> above<00:05:30.360> 25<00:05:30.990> as<00:05:32.090> the<00:05:33.090> BMI<00:05:33.570> the
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societies of above 25 as the BMI the
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societies of above 25 as the BMI the
value<00:05:34.169> of<00:05:34.290> the<00:05:34.440> variable<00:05:35.010> increases<00:05:35.610> from
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value of the variable increases from
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value of the variable increases from
very<00:05:36.300> low<00:05:36.570> levels<00:05:36.930> so<00:05:37.800> the<00:05:37.950> number<00:05:38.310> of<00:05:38.460> people
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very low levels so the number of people
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very low levels so the number of people
the<00:05:39.240> frequency<00:05:39.840> of<00:05:39.960> the<00:05:40.080> observations
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the frequency of the observations
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the frequency of the observations
increases<00:05:42.650> the<00:05:43.650> BMI<00:05:44.100> that<00:05:44.310> occurs<00:05:44.640> with<00:05:45.330> the
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increases the BMI that occurs with the
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increases the BMI that occurs with the
greatest<00:05:45.870> frequency<00:05:46.110> as<00:05:46.590> where<00:05:46.800> the<00:05:46.919> curve
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greatest frequency as where the curve
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greatest frequency as where the curve
reaches<00:05:47.610> its<00:05:47.760> maximum<00:05:48.919> so<00:05:49.919> the<00:05:50.040> mode<00:05:50.310> is<00:05:51.030> the
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reaches its maximum so the mode is the
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reaches its maximum so the mode is the
same<00:05:51.539> as<00:05:51.720> the<00:05:51.840> mean<00:05:53.210> beyond<00:05:54.210> that<00:05:54.500> the<00:05:55.500> number
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same as the mean beyond that the number
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same as the mean beyond that the number
of<00:05:55.950> observations
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of observations
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of observations
declines
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indeed<00:06:01.200> weight<00:06:01.470> would<00:06:01.710> conform<00:06:02.100> to<00:06:02.340> the<00:06:02.460> same
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indeed weight would conform to the same
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indeed weight would conform to the same
general<00:06:03.300> pattern<00:06:03.510> with<00:06:04.410> a<00:06:04.440> mean<00:06:04.740> weight<00:06:04.980> of
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general pattern with a mean weight of
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general pattern with a mean weight of
around<00:06:05.550> 80<00:06:05.880> kilograms<00:06:07.730> cholesterol<00:06:08.730> levels
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around 80 kilograms cholesterol levels
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around 80 kilograms cholesterol levels
and<00:06:09.210> as<00:06:10.020> we'll<00:06:10.230> see<00:06:10.440> in<00:06:10.560> the<00:06:10.650> next<00:06:10.800> film<00:06:11.130> a
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and as we'll see in the next film a
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and as we'll see in the next film a
great<00:06:11.460> many<00:06:11.760> other<00:06:11.970> things<00:06:12.210> come<00:06:12.960> close<00:06:13.290> to
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great many other things come close to
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great many other things come close to
doing<00:06:13.740> so<00:06:14.040> as<00:06:14.190> well<00:06:14.870> this<00:06:15.870> normal
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doing so as well this normal
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doing so as well this normal
distribution<00:06:16.920> or<00:06:17.460> Gaussian<00:06:18.000> distribution<00:06:18.840> as
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distribution or Gaussian distribution as
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distribution or Gaussian distribution as
it's<00:06:19.560> sometimes<00:06:19.980> called<00:06:20.250> is<00:06:20.600> a<00:06:21.600> bell<00:06:22.230> curve
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it's sometimes called is a bell curve
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it's sometimes called is a bell curve
because<00:06:24.240> the<00:06:24.780> bell<00:06:25.170> describes<00:06:25.890> its<00:06:26.130> shape<00:06:26.460> if
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because the bell describes its shape if
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because the bell describes its shape if
the<00:06:28.020> great<00:06:28.230> majority<00:06:28.590> of<00:06:28.830> observations<00:06:29.610> are
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the great majority of observations are
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the great majority of observations are
close<00:06:29.940> to<00:06:30.150> the<00:06:30.270> mean<00:06:30.510> then<00:06:31.050> we'll<00:06:31.290> have<00:06:31.470> a
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close to the mean then we'll have a
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close to the mean then we'll have a
narrower<00:06:32.190> higher<00:06:32.790> curve<00:06:33.300> with<00:06:34.200> a<00:06:34.230> relatively
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narrower higher curve with a relatively
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narrower higher curve with a relatively
low<00:06:35.130> standard<00:06:35.670> deviation<00:06:36.300> if<00:06:37.010> many
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low standard deviation if many
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low standard deviation if many
observations<00:06:38.370> are<00:06:38.850> some<00:06:39.030> distance<00:06:39.390> from<00:06:39.600> the
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observations are some distance from the
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observations are some distance from the
mean<00:06:39.960> the<00:06:40.500> curve<00:06:40.740> will<00:06:40.950> be<00:06:41.070> lower<00:06:41.310> and<00:06:41.550> broader
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mean the curve will be lower and broader
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mean the curve will be lower and broader
and<00:06:42.450> the<00:06:42.780> standard<00:06:43.200> deviation<00:06:43.770> greater<00:06:47.450> let's
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and the standard deviation greater let's
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and the standard deviation greater let's
use<00:06:48.690> this<00:06:48.870> concept<00:06:49.410> to<00:06:49.620> see<00:06:50.490> how<00:06:50.730> many
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use this concept to see how many
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use this concept to see how many
passengers<00:06:51.480> it<00:06:51.900> can<00:06:52.200> safely<00:06:52.620> carry<00:06:52.920> when
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passengers it can safely carry when
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passengers it can safely carry when
taking<00:06:54.120> off<00:06:54.240> from<00:06:54.450> aspirin<00:06:54.990> airports<00:06:57.920> it's
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taking off from aspirin airports it's
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taking off from aspirin airports it's
relatively<00:06:59.310> easy<00:06:59.430> to<00:06:59.670> determine<00:06:59.940> the<00:07:00.120> actual
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relatively easy to determine the actual
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relatively easy to determine the actual
gross<00:07:00.900> weight<00:07:01.170> the<00:07:01.410> maximum<00:07:01.800> weight<00:07:02.010> that
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gross weight the maximum weight that
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gross weight the maximum weight that
airplane<00:07:02.670> can<00:07:02.820> take<00:07:02.970> off<00:07:03.150> on<00:07:03.330> a<00:07:03.360> given<00:07:03.630> day<00:07:03.750> at
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airplane can take off on a given day at
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airplane can take off on a given day at
a<00:07:04.110> certain<00:07:04.440> temperature<00:07:04.560> with<00:07:04.980> the<00:07:05.070> wind<00:07:05.280> at
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a certain temperature with the wind at
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a certain temperature with the wind at
the<00:07:05.550> elevation<00:07:05.850> and<00:07:06.120> then<00:07:06.750> they<00:07:06.930> just<00:07:07.170> take
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the elevation and then they just take
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the elevation and then they just take
the<00:07:07.830> gross<00:07:08.040> weight<00:07:08.250> subtract<00:07:08.700> out<00:07:08.880> the<00:07:09.000> empty
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the gross weight subtract out the empty
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the gross weight subtract out the empty
weight<00:07:09.360> of<00:07:09.480> the<00:07:09.540> airplane<00:07:09.950> the<00:07:10.950> fuel<00:07:11.250> and<00:07:11.580> what
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weight of the airplane the fuel and what
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weight of the airplane the fuel and what
they<00:07:12.090> have<00:07:12.210> left<00:07:12.450> is<00:07:12.660> payload<00:07:13.050> and<00:07:13.310> that's
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they have left is payload and that's
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they have left is payload and that's
they<00:07:15.150> take<00:07:15.390> that<00:07:15.540> number<00:07:15.720> and<00:07:15.840> figure<00:07:16.140> out<00:07:16.169> how
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they take that number and figure out how
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they take that number and figure out how
many<00:07:16.320> passengers<00:07:16.890> they<00:07:17.010> can<00:07:17.160> carry<00:07:17.370> based<00:07:17.669> on
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many passengers they can carry based on
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many passengers they can carry based on
average<00:07:18.480> weights<00:07:19.520> let's<00:07:20.520> look<00:07:20.669> at<00:07:20.820> the
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average weights let's look at the
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average weights let's look at the
capacity<00:07:21.270> of<00:07:21.570> the<00:07:21.750> typical<00:07:22.230> aircraft<00:07:22.740> used<00:07:23.130> at
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capacity of the typical aircraft used at
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capacity of the typical aircraft used at
aspirin<00:07:24.380> the<00:07:25.380> BAE<00:07:25.740> 146<00:07:26.510> 300<00:07:27.510> has<00:07:27.990> a<00:07:28.020> maximum
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aspirin the BAE 146 300 has a maximum
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aspirin the BAE 146 300 has a maximum
takeoff<00:07:29.070> weight<00:07:29.340> of<00:07:29.720> forty<00:07:30.720> four<00:07:30.900> thousand
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takeoff weight of forty four thousand
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takeoff weight of forty four thousand
two<00:07:31.590> hundred<00:07:31.890> and<00:07:31.980> twenty<00:07:32.280> five<00:07:32.310> kilos<00:07:33.230> at
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two hundred and twenty five kilos at
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two hundred and twenty five kilos at
Aspen's<00:07:34.710> altitude<00:07:35.370> of<00:07:35.660> 2,400<00:07:36.660> meters<00:07:36.810> and<00:07:37.200> a
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Aspen's altitude of 2,400 meters and a
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Aspen's altitude of 2,400 meters and a
temperature<00:07:38.400> of<00:07:38.430> 27<00:07:39.090> degrees<00:07:39.390> Celsius<00:07:39.900> the
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temperature of 27 degrees Celsius the
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temperature of 27 degrees Celsius the
maximum<00:07:41.220> gross<00:07:41.490> weight<00:07:41.520> drops<00:07:42.120> to<00:07:42.419> thirty
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maximum gross weight drops to thirty
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maximum gross weight drops to thirty
three<00:07:43.350> thousand<00:07:43.770> four<00:07:44.370> hundred<00:07:44.520> and
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three thousand four hundred and
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three thousand four hundred and
seventy-five<00:07:45.390> kilograms
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seventy-five kilograms
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seventy-five kilograms
so<00:07:48.200> this<00:07:48.320> means<00:07:48.560> that<00:07:48.680> the<00:07:48.860> airline<00:07:49.250> must<00:07:49.550> shed
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so this means that the airline must shed
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so this means that the airline must shed
weight<00:07:50.000> carrying<00:07:50.990> less<00:07:51.200> fuel<00:07:51.530> passengers<00:07:52.280> and
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weight carrying less fuel passengers and
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weight carrying less fuel passengers and
baggage<00:07:53.290> to<00:07:54.290> calculate<00:07:54.770> how<00:07:54.950> many<00:07:55.010> passengers
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baggage to calculate how many passengers
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baggage to calculate how many passengers
and<00:07:56.000> bags<00:07:56.210> to<00:07:56.420> leave<00:07:56.630> behind<00:07:56.810> the<00:07:57.560> airlines
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and bags to leave behind the airlines
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and bags to leave behind the airlines
use<00:07:58.340> averages<00:07:59.120> provided<00:07:59.960> by<00:08:00.080> the<00:08:00.140> FAA<00:08:02.530> until
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use averages provided by the FAA until
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use averages provided by the FAA until
1995<00:08:04.640> they<00:08:05.570> used<00:08:05.810> an<00:08:05.990> average<00:08:06.140> of<00:08:06.560> 72<00:08:07.100> point<00:08:07.610> 6
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1995 they used an average of 72 point 6
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1995 they used an average of 72 point 6
kilos<00:08:08.390> per<00:08:08.420> person<00:08:09.170> then<00:08:10.360> 77<00:08:11.360> kilos<00:08:11.570> until
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kilos per person then 77 kilos until
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kilos per person then 77 kilos until
2004<00:08:13.340> and<00:08:13.640> then<00:08:14.630> it<00:08:14.780> was<00:08:14.870> increased<00:08:15.290> to<00:08:15.410> 86
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2004 and then it was increased to 86
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2004 and then it was increased to 86
point<00:08:16.550> 2<00:08:16.790> kilos<00:08:17.240> in<00:08:17.930> the<00:08:18.230> summer<00:08:18.500> and<00:08:19.420> 88.5
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point 2 kilos in the summer and 88.5
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point 2 kilos in the summer and 88.5
kilos<00:08:20.960> in<00:08:21.170> the<00:08:21.260> winter<00:08:21.650> to<00:08:22.310> include<00:08:22.580> the<00:08:22.730> extra
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kilos in the winter to include the extra
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kilos in the winter to include the extra
clothing<00:08:23.660> now<00:08:24.200> these<00:08:24.470> changes<00:08:24.950> of<00:08:25.280> course
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clothing now these changes of course
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clothing now these changes of course
reflect<00:08:26.510> the<00:08:26.630> increasing<00:08:27.200> obesity<00:08:27.530> of<00:08:27.860> the
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reflect the increasing obesity of the
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reflect the increasing obesity of the
population<00:08:30.130> so<00:08:31.130> if<00:08:31.220> an<00:08:31.340> airplane<00:08:31.640> must<00:08:31.970> shed
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population so if an airplane must shed
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population so if an airplane must shed
fifteen<00:08:33.200> hundred<00:08:33.530> and<00:08:33.560> fifty<00:08:33.920> one<00:08:34.100> kilos<00:08:34.660> it
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fifteen hundred and fifty one kilos it
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fifteen hundred and fifty one kilos it
must<00:08:35.870> leave<00:08:36.080> eighteen<00:08:36.920> passengers<00:08:37.520> behind
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during<00:08:42.950> the<00:08:43.100> summer<00:08:43.370> they<00:08:44.590> automatically
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during the summer they automatically
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during the summer they automatically
block<00:08:45.890> out<00:08:46.160> 15<00:08:46.670> seats<00:08:47.030> they<00:08:47.480> don't<00:08:47.690> sell<00:08:47.990> them
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block out 15 seats they don't sell them
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block out 15 seats they don't sell them
on<00:08:49.430> certain<00:08:50.150> flights<00:08:50.540> if<00:08:51.140> they<00:08:51.500> have<00:08:51.650> a<00:08:51.680> warmer
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on certain flights if they have a warmer
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on certain flights if they have a warmer
day<00:08:52.130> than<00:08:52.580> they<00:08:52.700> anticipated<00:08:53.000> or<00:08:53.630> the<00:08:53.750> winds
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day than they anticipated or the winds
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day than they anticipated or the winds
Iran<00:08:54.320> they<00:08:55.190> will<00:08:55.490> bump<00:08:56.090> somebody
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Iran they will bump somebody
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Iran they will bump somebody
or<00:08:57.620> bump<00:08:57.890> their<00:08:58.040> baggage<00:08:59.320> occasionally<00:09:00.320> they
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or bump their baggage occasionally they
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or bump their baggage occasionally they
just<00:09:00.709> bump<00:09:00.920> the<00:09:01.040> baggage<00:09:03.370> then<00:09:04.370> instead<00:09:04.610> of<00:09:04.670> a
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just bump the baggage then instead of a
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just bump the baggage then instead of a
few<00:09:05.000> unhappy<00:09:05.149> individuals<00:09:05.810> you<00:09:05.870> have<00:09:05.899> an<00:09:06.050> ol
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few unhappy individuals you have an ol
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few unhappy individuals you have an ol
airplane<00:09:06.529> full<00:09:06.740> of<00:09:06.860> them<00:09:08.470> the<00:09:09.470> FAA<00:09:09.740> I<00:09:09.890> used<00:09:10.220> a
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airplane full of them the FAA I used a
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airplane full of them the FAA I used a
national<00:09:10.850> study<00:09:11.149> on<00:09:11.269> health<00:09:11.630> and<00:09:11.870> obesity<00:09:12.140> to
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national study on health and obesity to
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national study on health and obesity to
determine<00:09:13.459> the<00:09:13.579> new<00:09:13.760> averages<00:09:14.329> for<00:09:14.540> passenger
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determine the new averages for passenger
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determine the new averages for passenger
weights<00:09:16.149> now<00:09:17.149> let's<00:09:17.420> see<00:09:17.720> why<00:09:18.110> the
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weights now let's see why the
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weights now let's see why the
authorities<00:09:18.709> are<00:09:19.190> so<00:09:19.370> strict<00:09:19.910> about<00:09:20.230> the
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authorities are so strict about the
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authorities are so strict about the
loading<00:09:21.740> requirements<00:09:24.190> suppose<00:09:25.190> given<00:09:25.700> the
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loading requirements suppose given the
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loading requirements suppose given the
flying<00:09:26.180> conditions<00:09:26.690> the<00:09:27.350> weight<00:09:27.560> of<00:09:27.709> the<00:09:27.769> crew
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flying conditions the weight of the crew
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flying conditions the weight of the crew
the<00:09:28.700> baggage<00:09:29.060> etc<00:09:29.660> a<00:09:29.839> smallish<00:09:30.709> aircraft<00:09:31.190> can
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the baggage etc a smallish aircraft can
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the baggage etc a smallish aircraft can
take<00:09:31.720> 6,000<00:09:32.720> kilograms<00:09:32.959> of<00:09:33.649> passenger<00:09:34.399> weight
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take 6,000 kilograms of passenger weight
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take 6,000 kilograms of passenger weight
to<00:09:36.709> be<00:09:36.829> conservative<00:09:37.250> and<00:09:37.839> using<00:09:38.839> some
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to be conservative and using some
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to be conservative and using some
average<00:09:39.769> of<00:09:40.100> the<00:09:40.279> weights<00:09:40.519> used<00:09:41.149> by<00:09:41.480> the<00:09:41.540> FAA
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average of the weights used by the FAA
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average of the weights used by the FAA
let's<00:09:43.250> suppose<00:09:43.640> that<00:09:43.910> the<00:09:44.000> average<00:09:44.600> passenger
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let's suppose that the average passenger
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let's suppose that the average passenger
weighs<00:09:45.529> ninety<00:09:46.430> one<00:09:46.640> point<00:09:47.060> six<00:09:47.360> six
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weighs ninety one point six six
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weighs ninety one point six six
kilograms
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kilograms
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kilograms
if<00:09:50.110> the<00:09:50.500> number<00:09:51.040> of<00:09:51.310> people<00:09:51.940> allowed<00:09:52.360> to<00:09:52.720> fly
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if the number of people allowed to fly
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if the number of people allowed to fly
is<00:09:53.050> restricted<00:09:53.980> to<00:09:54.220> say<00:09:54.460> 60<00:09:55.950> 60<00:09:56.950> such<00:09:57.280> average
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is restricted to say 60 60 such average
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is restricted to say 60 60 such average
people<00:09:58.030> would<00:09:58.720> weigh<00:09:58.950> 60<00:09:59.950> times<00:10:00.280> ninety<00:10:01.030> one
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people would weigh 60 times ninety one
00:10:01.210 --> 00:10:03.810 align:start position:0%
people would weigh 60 times ninety one
point<00:10:01.480> six<00:10:01.840> six<00:10:02.020> kilograms<00:10:02.440> which<00:10:03.400> equals
00:10:03.810 --> 00:10:03.820 align:start position:0%
point six six kilograms which equals
00:10:03.820 --> 00:10:08.670 align:start position:0%
point six six kilograms which equals
five<00:10:04.300> thousand<00:10:04.840> five<00:10:05.500> hundred<00:10:05.770> a<00:10:07.560> but<00:10:08.560> in
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five thousand five hundred a but in
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five thousand five hundred a but in
practice<00:10:09.340> they<00:10:10.120> won't<00:10:10.360> all<00:10:10.540> be<00:10:10.810> the<00:10:10.960> same
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practice they won't all be the same
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practice they won't all be the same
weight<00:10:11.470> and<00:10:11.740> the<00:10:12.700> standard<00:10:13.090> deviation<00:10:13.690> of<00:10:13.810> the
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weight and the standard deviation of the
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weight and the standard deviation of the
passenger<00:10:14.470> weights<00:10:14.740> is<00:10:15.100> let's<00:10:15.550> say<00:10:15.820> fifteen
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passenger weights is let's say fifteen
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passenger weights is let's say fifteen
hundred<00:10:17.170> kilograms
00:10:19.890 --> 00:10:19.900 align:start position:0%
00:10:19.900 --> 00:10:22.740 align:start position:0%
now<00:10:20.529> by<00:10:20.710> setting<00:10:20.980> a<00:10:21.250> maximum<00:10:21.520> of<00:10:22.150> 60
00:10:22.740 --> 00:10:22.750 align:start position:0%
now by setting a maximum of 60
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now by setting a maximum of 60
passengers<00:10:23.050> is<00:10:24.390> there<00:10:25.390> any<00:10:25.540> chance<00:10:25.990> that<00:10:26.290> a
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passengers is there any chance that a
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passengers is there any chance that a
random<00:10:27.370> selection<00:10:27.670> of<00:10:28.180> passengers<00:10:28.810> might
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random selection of passengers might
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random selection of passengers might
weigh<00:10:30.040> more<00:10:30.400> than<00:10:30.460> the<00:10:30.900> 6,000<00:10:31.900> kilograms<00:10:32.110> of
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weigh more than the 6,000 kilograms of
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weigh more than the 6,000 kilograms of
weight<00:10:32.860> that's<00:10:33.490> regarded<00:10:34.060> as<00:10:34.180> safe<00:10:35.700> it
00:10:36.690 --> 00:10:36.700 align:start position:0%
weight that's regarded as safe it
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weight that's regarded as safe it
doesn't<00:10:36.760> seem<00:10:37.150> very<00:10:37.180> likely<00:10:37.680> but<00:10:38.680> let's<00:10:38.980> check
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doesn't seem very likely but let's check
00:10:39.310 --> 00:10:42.390 align:start position:0%
doesn't seem very likely but let's check
it<00:10:39.460> out<00:10:39.610> by<00:10:40.390> using<00:10:40.690> our<00:10:41.020> understanding<00:10:41.860> of<00:10:41.980> the
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it out by using our understanding of the
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it out by using our understanding of the
normal<00:10:42.760> distribution
00:10:45.140 --> 00:10:45.150 align:start position:0%
00:10:45.150 --> 00:10:47.310 align:start position:0%
diagrammatically<00:10:46.150> the<00:10:46.690> problem<00:10:47.050> looks<00:10:47.230> like
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diagrammatically the problem looks like
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diagrammatically the problem looks like
this<00:10:47.710> any<00:10:48.570> combined<00:10:49.570> weight<00:10:49.839> of<00:10:49.900> over<00:10:50.350> six
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this any combined weight of over six
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this any combined weight of over six
thousand<00:10:51.190> kilograms<00:10:51.490> is<00:10:51.940> a<00:10:52.390> problem<00:10:53.490> the<00:10:54.490> mean
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thousand kilograms is a problem the mean
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thousand kilograms is a problem the mean
is<00:10:55.320> five<00:10:56.320> thousand<00:10:56.890> five<00:10:57.160> hundred<00:10:57.430> kilograms
00:10:58.079 --> 00:10:58.089 align:start position:0%
is five thousand five hundred kilograms
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is five thousand five hundred kilograms
so<00:10:58.779> typically<00:10:59.320> they'll<00:10:59.500> be<00:10:59.620> fine<00:11:00.390> but<00:11:01.390> we're
00:11:01.530 --> 00:11:01.540 align:start position:0%
so typically they'll be fine but we're
00:11:01.540 --> 00:11:03.750 align:start position:0%
so typically they'll be fine but we're
interested<00:11:01.750> in<00:11:02.350> the<00:11:02.500> area<00:11:03.040> that's<00:11:03.250> greater
00:11:03.750 --> 00:11:03.760 align:start position:0%
interested in the area that's greater
00:11:03.760 --> 00:11:08.490 align:start position:0%
interested in the area that's greater
than<00:11:04.180> six<00:11:04.480> thousand<00:11:04.990> kilograms<00:11:06.660> that's<00:11:07.660> the
00:11:08.490 --> 00:11:08.500 align:start position:0%
than six thousand kilograms that's the
00:11:08.500 --> 00:11:10.410 align:start position:0%
than six thousand kilograms that's the
area<00:11:08.740> in<00:11:09.190> which<00:11:09.250> there<00:11:09.880> will<00:11:09.940> be<00:11:10.000> a<00:11:10.060> safety
00:11:10.410 --> 00:11:10.420 align:start position:0%
area in which there will be a safety
00:11:10.420 --> 00:11:13.710 align:start position:0%
area in which there will be a safety
problem<00:11:11.520> now<00:11:12.520> the<00:11:12.550> total<00:11:12.880> area<00:11:13.210> under<00:11:13.480> the
00:11:13.710 --> 00:11:13.720 align:start position:0%
problem now the total area under the
00:11:13.720 --> 00:11:16.050 align:start position:0%
problem now the total area under the
curve<00:11:13.960> gives<00:11:14.260> all<00:11:14.380> the<00:11:14.650> possibilities<00:11:15.279> and<00:11:15.490> is
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curve gives all the possibilities and is
00:11:16.060 --> 00:11:19.079 align:start position:0%
curve gives all the possibilities and is
therefore<00:11:16.300> equal<00:11:16.630> to<00:11:16.930> one<00:11:17.370> how<00:11:18.370> can<00:11:18.430> we<00:11:18.790> find
00:11:19.079 --> 00:11:19.089 align:start position:0%
therefore equal to one how can we find
00:11:19.089 --> 00:11:21.210 align:start position:0%
therefore equal to one how can we find
the<00:11:19.270> probability<00:11:20.050> for<00:11:20.320> the<00:11:20.440> occurrence<00:11:20.980> of
00:11:21.210 --> 00:11:21.220 align:start position:0%
the probability for the occurrence of
00:11:21.220 --> 00:11:23.790 align:start position:0%
the probability for the occurrence of
anything<00:11:21.940> represented<00:11:22.660> by<00:11:22.810> just<00:11:22.839> the<00:11:23.350> shaded
00:11:23.790 --> 00:11:23.800 align:start position:0%
anything represented by just the shaded
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anything represented by just the shaded
area<00:11:24.220> if<00:11:25.000> weight<00:11:25.900> can<00:11:26.110> be<00:11:26.140> represented<00:11:26.950> by<00:11:27.070> a
00:11:27.090 --> 00:11:27.100 align:start position:0%
area if weight can be represented by a
00:11:27.100 --> 00:11:29.760 align:start position:0%
area if weight can be represented by a
bell<00:11:27.430> curve<00:11:27.630> all<00:11:28.630> we<00:11:28.870> need<00:11:29.080> to<00:11:29.200> know<00:11:29.380> is<00:11:29.560> the
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bell curve all we need to know is the
00:11:29.770 --> 00:11:32.400 align:start position:0%
bell curve all we need to know is the
mean<00:11:30.070> average<00:11:30.279> and<00:11:30.700> the<00:11:31.390> standard<00:11:31.839> deviation
00:11:32.400 --> 00:11:32.410 align:start position:0%
mean average and the standard deviation
00:11:32.410 --> 00:11:36.489 align:start position:0%
mean average and the standard deviation
and<00:11:32.620> we<00:11:33.580> can<00:11:33.730> calculate<00:11:34.029> that<00:11:34.420> area
00:11:36.489 --> 00:11:36.499 align:start position:0%
and we can calculate that area
00:11:36.499 --> 00:11:38.619 align:start position:0%
and we can calculate that area
that<00:11:37.189> clearly<00:11:37.429> will<00:11:37.609> have<00:11:37.819> a<00:11:37.849> different<00:11:38.389> area
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that clearly will have a different area
00:11:38.629 --> 00:11:41.229 align:start position:0%
that clearly will have a different area
for<00:11:39.199> every<00:11:39.649> value<00:11:39.919> of<00:11:40.189> mean<00:11:40.699> and<00:11:40.999> standard
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for every value of mean and standard
00:11:41.239 --> 00:11:42.839 align:start position:0%
for every value of mean and standard
deviation
00:11:42.839 --> 00:11:42.849 align:start position:0%
deviation
00:11:42.849 --> 00:11:45.329 align:start position:0%
deviation
but<00:11:43.849> there's<00:11:44.059> one<00:11:44.329> table<00:11:44.869> of<00:11:44.959> probabilities
00:11:45.329 --> 00:11:45.339 align:start position:0%
but there's one table of probabilities
00:11:45.339 --> 00:11:48.969 align:start position:0%
but there's one table of probabilities
for<00:11:46.339> a<00:11:46.369> standard<00:11:47.149> normal<00:11:47.539> distribution<00:11:47.979> which
00:11:48.969 --> 00:11:48.979 align:start position:0%
for a standard normal distribution which
00:11:48.979 --> 00:11:51.759 align:start position:0%
for a standard normal distribution which
has<00:11:49.189> a<00:11:49.219> mean<00:11:49.639> of<00:11:49.849> 0<00:11:50.179> and<00:11:50.569> a<00:11:51.259> standard<00:11:51.289> deviation
00:11:51.759 --> 00:11:51.769 align:start position:0%
has a mean of 0 and a standard deviation
00:11:51.769 --> 00:11:57.219 align:start position:0%
has a mean of 0 and a standard deviation
equal<00:11:52.639> to<00:11:52.759> 1<00:11:54.219> so<00:11:55.219> first<00:11:55.639> we<00:11:56.539> can<00:11:56.749> convert<00:11:57.199> our
00:11:57.219 --> 00:11:57.229 align:start position:0%
equal to 1 so first we can convert our
00:11:57.229 --> 00:11:59.949 align:start position:0%
equal to 1 so first we can convert our
values<00:11:57.889> into<00:11:58.189> standard<00:11:58.879> units<00:11:59.329> usually
00:11:59.949 --> 00:11:59.959 align:start position:0%
values into standard units usually
00:11:59.959 --> 00:12:03.699 align:start position:0%
values into standard units usually
called<00:12:00.439> z-scores<00:12:01.599> and<00:12:02.599> our<00:12:02.809> formula<00:12:03.289> for
00:12:03.699 --> 00:12:03.709 align:start position:0%
called z-scores and our formula for
00:12:03.709 --> 00:12:10.779 align:start position:0%
called z-scores and our formula for
doing<00:12:03.859> this<00:12:04.219> is<00:12:04.689> Z<00:12:06.069> equals<00:12:07.449> X<00:12:08.449> minus<00:12:08.689> mu<00:12:09.789> over
00:12:10.779 --> 00:12:10.789 align:start position:0%
doing this is Z equals X minus mu over
00:12:10.789 --> 00:12:14.589 align:start position:0%
doing this is Z equals X minus mu over
Sigma<00:12:11.709> where<00:12:12.709> X<00:12:12.949> is<00:12:13.309> the<00:12:13.819> score<00:12:14.239> from<00:12:14.479> the
00:12:14.589 --> 00:12:14.599 align:start position:0%
Sigma where X is the score from the
00:12:14.599 --> 00:12:18.369 align:start position:0%
Sigma where X is the score from the
original<00:12:15.139> normal<00:12:15.529> distribution<00:12:16.809> mu<00:12:17.809> is<00:12:18.079> the
00:12:18.369 --> 00:12:18.379 align:start position:0%
original normal distribution mu is the
00:12:18.379 --> 00:12:20.499 align:start position:0%
original normal distribution mu is the
mean<00:12:18.859> of<00:12:19.129> the<00:12:19.249> original<00:12:19.789> normal<00:12:20.209> distribution
00:12:20.499 --> 00:12:20.509 align:start position:0%
mean of the original normal distribution
00:12:20.509 --> 00:12:24.549 align:start position:0%
mean of the original normal distribution
and<00:12:21.309> Sigma<00:12:22.309> is<00:12:22.579> the<00:12:23.179> standard<00:12:23.539> deviation<00:12:23.809> of
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and Sigma is the standard deviation of
00:12:24.559 --> 00:12:29.079 align:start position:0%
and Sigma is the standard deviation of
the<00:12:25.039> original<00:12:25.549> normal<00:12:25.999> distribution<00:12:26.599> and<00:12:28.089> Zed
00:12:29.079 --> 00:12:29.089 align:start position:0%
the original normal distribution and Zed
00:12:29.089 --> 00:12:32.169 align:start position:0%
the original normal distribution and Zed
is<00:12:29.379> the<00:12:30.379> standardized<00:12:31.039> variable<00:12:31.789> it
00:12:32.169 --> 00:12:32.179 align:start position:0%
is the standardized variable it
00:12:32.179 --> 00:12:33.909 align:start position:0%
is the standardized variable it
represents<00:12:32.929> the<00:12:33.109> number<00:12:33.349> of<00:12:33.559> standard
00:12:33.909 --> 00:12:33.919 align:start position:0%
represents the number of standard
00:12:33.919 --> 00:12:36.369 align:start position:0%
represents the number of standard
deviations<00:12:34.819> above<00:12:35.239> or<00:12:35.479> below<00:12:35.629> the<00:12:35.959> mean<00:12:35.989> a
00:12:36.369 --> 00:12:36.379 align:start position:0%
deviations above or below the mean a
00:12:36.379 --> 00:12:39.609 align:start position:0%
deviations above or below the mean a
particular<00:12:36.979> score<00:12:37.489> is<00:12:38.109> let's<00:12:39.109> see<00:12:39.289> how<00:12:39.439> that
00:12:39.609 --> 00:12:39.619 align:start position:0%
particular score is let's see how that
00:12:39.619 --> 00:12:45.879 align:start position:0%
particular score is let's see how that
works<00:12:39.889> out<00:12:40.159> in<00:12:40.219> our<00:12:40.519> example<00:12:42.009> here<00:12:43.009> X<00:12:43.729> is<00:12:44.889> 6,000
00:12:45.879 --> 00:12:45.889 align:start position:0%
works out in our example here X is 6,000
00:12:45.889 --> 00:12:50.259 align:start position:0%
works out in our example here X is 6,000
kilograms<00:12:47.169> mu<00:12:48.169> the<00:12:48.529> mean<00:12:48.709> is<00:12:49.009> five<00:12:49.789> thousand
00:12:50.259 --> 00:12:50.269 align:start position:0%
kilograms mu the mean is five thousand
00:12:50.269 --> 00:12:54.069 align:start position:0%
kilograms mu the mean is five thousand
five<00:12:50.449> hundred<00:12:50.689> kilograms<00:12:52.899> Sigma<00:12:53.899> the
00:12:54.069 --> 00:12:54.079 align:start position:0%
five hundred kilograms Sigma the
00:12:54.079 --> 00:12:56.799 align:start position:0%
five hundred kilograms Sigma the
standard<00:12:54.109> deviation<00:12:55.069> is<00:12:55.419> fifteen<00:12:56.419> hundred
00:12:56.799 --> 00:12:56.809 align:start position:0%
standard deviation is fifteen hundred
00:12:56.809 --> 00:13:02.289 align:start position:0%
standard deviation is fifteen hundred
kilograms<00:12:57.970> so<00:12:58.970> we<00:12:59.089> have<00:12:59.299> Z<00:13:00.109> equals<00:13:01.299> six
00:13:02.289 --> 00:13:02.299 align:start position:0%
kilograms so we have Z equals six
00:13:02.299 --> 00:13:04.749 align:start position:0%
kilograms so we have Z equals six
thousand<00:13:02.839> minus<00:13:03.829> five<00:13:04.069> thousand<00:13:04.579> five
00:13:04.749 --> 00:13:04.759 align:start position:0%
thousand minus five thousand five
00:13:04.759 --> 00:13:10.689 align:start position:0%
thousand minus five thousand five
hundred<00:13:06.369> divided<00:13:07.369> by<00:13:07.579> fifteen<00:13:08.479> hundred<00:13:09.699> but
00:13:10.689 --> 00:13:10.699 align:start position:0%
hundred divided by fifteen hundred but
00:13:10.699 --> 00:13:14.259 align:start position:0%
hundred divided by fifteen hundred but
is<00:13:10.819> to<00:13:10.970> say<00:13:11.119> Z<00:13:11.449> equals<00:13:11.989> five<00:13:12.739> hundred<00:13:13.269> over
00:13:14.259 --> 00:13:14.269 align:start position:0%
is to say Z equals five hundred over
00:13:14.269 --> 00:13:20.829 align:start position:0%
is to say Z equals five hundred over
fifteen<00:13:14.749> hundred<00:13:15.639> Z<00:13:16.639> equals<00:13:17.449> not<00:13:18.349> 0.33<00:13:19.749> now<00:13:20.749> if
00:13:20.829 --> 00:13:20.839 align:start position:0%
fifteen hundred Z equals not 0.33 now if
00:13:20.839 --> 00:13:24.309 align:start position:0%
fifteen hundred Z equals not 0.33 now if
we<00:13:20.959> look<00:13:21.109> in<00:13:21.259> the<00:13:21.379> normal<00:13:22.339> tables<00:13:22.970> we<00:13:23.959> can<00:13:23.989> look
00:13:24.309 --> 00:13:24.319 align:start position:0%
we look in the normal tables we can look
00:13:24.319 --> 00:13:26.829 align:start position:0%
we look in the normal tables we can look
down<00:13:24.349> the<00:13:24.529> left-hand<00:13:25.069> column<00:13:25.279> for<00:13:25.729> Z<00:13:25.939> equals
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down the left-hand column for Z equals
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down the left-hand column for Z equals
nine<00:13:27.199> point<00:13:27.499> three<00:13:27.559> and<00:13:28.509> then<00:13:29.509> across<00:13:29.839> under
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nine point three and then across under
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nine point three and then across under
naught<00:13:31.459> point<00:13:31.729> O<00:13:31.970> three<00:13:32.389> and<00:13:33.399> the<00:13:34.399> number<00:13:34.549> in
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naught point O three and the number in
00:13:34.759 --> 00:13:37.389 align:start position:0%
naught point O three and the number in
the<00:13:34.879> table<00:13:35.089> is<00:13:35.419> the<00:13:35.569> tail<00:13:35.809> area<00:13:36.169> for<00:13:36.649> Z<00:13:36.859> equals
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the table is the tail area for Z equals
00:13:37.399 --> 00:13:41.499 align:start position:0%
the table is the tail area for Z equals
naught<00:13:37.879> point<00:13:38.119> three<00:13:38.419> three<00:13:39.099> which<00:13:40.099> is<00:13:40.509> not
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naught point three three which is not
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naught point three three which is not
point<00:13:41.869> three<00:13:42.259> seven<00:13:42.499> zero<00:13:42.799> seven<00:13:44.289> this<00:13:45.289> is<00:13:45.499> the
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point three seven zero seven this is the
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point three seven zero seven this is the
probability<00:13:46.069> that<00:13:46.549> the<00:13:46.999> weight<00:13:47.269> will<00:13:47.599> exceed
00:13:48.069 --> 00:13:48.079 align:start position:0%
probability that the weight will exceed
00:13:48.079 --> 00:13:49.060 align:start position:0%
probability that the weight will exceed
six
00:13:49.060 --> 00:13:49.070 align:start position:0%
six
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six
and<00:13:49.250> kilograms<00:13:50.199> so<00:13:51.199> our<00:13:51.350> answer<00:13:51.740> is<00:13:51.769> that<00:13:51.920> the
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and kilograms so our answer is that the
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and kilograms so our answer is that the
probability<00:13:52.610> that<00:13:53.149> the<00:13:53.389> total<00:13:53.899> weight
00:13:54.040 --> 00:13:54.050 align:start position:0%
probability that the total weight
00:13:54.050 --> 00:13:58.689 align:start position:0%
probability that the total weight
exceeds<00:13:54.880> 6,000<00:13:55.880> kilograms<00:13:56.089> is<00:13:56.690> not<00:13:57.699> 0.37
00:13:58.689 --> 00:13:58.699 align:start position:0%
exceeds 6,000 kilograms is not 0.37
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exceeds 6,000 kilograms is not 0.37
correct<00:13:59.089> to<00:13:59.209> two<00:13:59.420> decimal<00:13:59.990> places<00:14:00.139> or<00:14:02.560> 37%<00:14:04.300> so
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correct to two decimal places or 37% so
00:14:05.300 --> 00:14:07.930 align:start position:0%
correct to two decimal places or 37% so
given<00:14:05.690> our<00:14:05.779> assumptions<00:14:06.589> we<00:14:07.310> would<00:14:07.490> find<00:14:07.759> that
00:14:07.930 --> 00:14:07.940 align:start position:0%
given our assumptions we would find that
00:14:07.940 --> 00:14:10.319 align:start position:0%
given our assumptions we would find that
such<00:14:08.240> a<00:14:08.269> restriction<00:14:08.810> on<00:14:09.110> passenger<00:14:09.740> numbers
00:14:10.319 --> 00:14:10.329 align:start position:0%
such a restriction on passenger numbers
00:14:10.329 --> 00:14:13.660 align:start position:0%
such a restriction on passenger numbers
would<00:14:11.329> result<00:14:11.810> in<00:14:12.170> over<00:14:12.529> one-third<00:14:13.310> of<00:14:13.519> these
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would result in over one-third of these
00:14:13.670 --> 00:14:16.990 align:start position:0%
would result in over one-third of these
planes<00:14:14.120> flying<00:14:14.600> with<00:14:15.230> a<00:14:15.259> weight<00:14:15.819> regarded<00:14:16.819> as
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planes flying with a weight regarded as
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planes flying with a weight regarded as
too<00:14:17.839> great<00:14:18.230> to<00:14:18.949> be<00:14:19.100> safe<00:14:20.589> so<00:14:21.589> the<00:14:21.680> concept<00:14:22.220> of<00:14:22.370> a
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too great to be safe so the concept of a
00:14:22.490 --> 00:14:25.480 align:start position:0%
too great to be safe so the concept of a
normal<00:14:23.000> distribution<00:14:23.209> is<00:14:24.130> highly<00:14:25.130> valuable
00:14:25.480 --> 00:14:25.490 align:start position:0%
normal distribution is highly valuable
00:14:25.490 --> 00:14:28.210 align:start position:0%
normal distribution is highly valuable
in<00:14:25.759> making<00:14:26.120> sure<00:14:26.360> the<00:14:27.110> passengers<00:14:27.410> are<00:14:27.920> able
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in making sure the passengers are able
00:14:28.220 --> 00:14:31.210 align:start position:0%
in making sure the passengers are able
to<00:14:28.250> fly<00:14:28.519> safely<00:14:29.259> one<00:14:30.259> way<00:14:30.440> of<00:14:30.560> taking<00:14:30.829> more
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to fly safely one way of taking more
00:14:31.220 --> 00:14:33.819 align:start position:0%
to fly safely one way of taking more
passengers<00:14:31.910> safely<00:14:32.509> is<00:14:33.110> to<00:14:33.290> extend<00:14:33.709> the
00:14:33.819 --> 00:14:33.829 align:start position:0%
passengers safely is to extend the
00:14:33.829 --> 00:14:36.879 align:start position:0%
passengers safely is to extend the
runway<00:14:35.110> recently<00:14:36.110> the<00:14:36.350> airport<00:14:36.769> began
00:14:36.879 --> 00:14:36.889 align:start position:0%
runway recently the airport began
00:14:36.889 --> 00:14:39.550 align:start position:0%
runway recently the airport began
construction<00:14:37.790> to<00:14:38.300> add<00:14:38.449> a<00:14:38.480> thousand<00:14:39.110> feet<00:14:39.319> or
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construction to add a thousand feet or
00:14:39.560 --> 00:14:42.600 align:start position:0%
construction to add a thousand feet or
305<00:14:40.399> metres<00:14:40.910> to<00:14:41.600> the<00:14:41.720> length<00:14:41.930> of<00:14:42.199> the<00:14:42.350> runway
00:14:42.600 --> 00:14:42.610 align:start position:0%
305 metres to the length of the runway
00:14:42.610 --> 00:14:45.340 align:start position:0%
305 metres to the length of the runway
well<00:14:43.610> the<00:14:43.759> longer<00:14:43.970> runway<00:14:44.360> will<00:14:44.839> will<00:14:45.170> help
00:14:45.340 --> 00:14:45.350 align:start position:0%
well the longer runway will will help
00:14:45.350 --> 00:14:47.470 align:start position:0%
well the longer runway will will help
for<00:14:45.740> the<00:14:45.980> regional<00:14:46.430> jets<00:14:46.670> that<00:14:46.940> is<00:14:47.360> an
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for the regional jets that is an
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for the regional jets that is an
airplane<00:14:47.750> that<00:14:47.870> is<00:14:48.079> runway<00:14:48.380> limited<00:14:48.920> out<00:14:49.040> of
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airplane that is runway limited out of
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airplane that is runway limited out of
this<00:14:49.250> Airport<00:14:49.670> and<00:14:49.940> consequently<00:14:50.839> a<00:14:50.930> longer
00:14:51.309 --> 00:14:51.319 align:start position:0%
this Airport and consequently a longer
00:14:51.319 --> 00:14:52.660 align:start position:0%
this Airport and consequently a longer
runway<00:14:51.620> means<00:14:51.800> they'll<00:14:52.100> be<00:14:52.190> able<00:14:52.250> to<00:14:52.370> take<00:14:52.490> off
00:14:52.660 --> 00:14:52.670 align:start position:0%
runway means they'll be able to take off
00:14:52.670 --> 00:14:55.949 align:start position:0%
runway means they'll be able to take off
if<00:14:52.790> more<00:14:52.970> weight<00:14:53.149> on<00:14:53.360> a<00:14:53.389> given<00:14:53.750> day<00:14:54.130> it'll
00:14:55.949 --> 00:14:55.959 align:start position:0%
if more weight on a given day it'll
00:14:55.959 --> 00:14:58.809 align:start position:0%
if more weight on a given day it'll
allow<00:14:56.959> me<00:14:56.990> to<00:14:57.319> take<00:14:57.440> off<00:14:57.620> slightly<00:14:57.920> heavier<00:14:58.399> or
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allow me to take off slightly heavier or
00:14:58.819 --> 00:15:00.600 align:start position:0%
allow me to take off slightly heavier or
most<00:14:59.089> people<00:14:59.389> to<00:14:59.480> take<00:14:59.630> off<00:14:59.750> slightly<00:15:00.079> heavier
00:15:00.600 --> 00:15:00.610 align:start position:0%
most people to take off slightly heavier
00:15:00.610 --> 00:15:03.579 align:start position:0%
most people to take off slightly heavier
this<00:15:01.610> additional<00:15:02.149> runway<00:15:02.540> length<00:15:02.839> makes<00:15:03.380> it
00:15:03.579 --> 00:15:03.589 align:start position:0%
this additional runway length makes it
00:15:03.589 --> 00:15:05.470 align:start position:0%
this additional runway length makes it
possible<00:15:03.800> for<00:15:04.100> some<00:15:04.430> aircraft<00:15:04.850> to<00:15:05.060> take<00:15:05.269> off
00:15:05.470 --> 00:15:05.480 align:start position:0%
possible for some aircraft to take off
00:15:05.480 --> 00:15:08.350 align:start position:0%
possible for some aircraft to take off
with<00:15:05.720> additional<00:15:06.380> load<00:15:06.620> one<00:15:07.610> aircraft<00:15:08.149> can
00:15:08.350 --> 00:15:08.360 align:start position:0%
with additional load one aircraft can
00:15:08.360 --> 00:15:10.509 align:start position:0%
with additional load one aircraft can
carry<00:15:08.389> an<00:15:08.810> additional<00:15:08.959> one<00:15:09.769> five<00:15:10.130> eight<00:15:10.399> eight
00:15:10.509 --> 00:15:10.519 align:start position:0%
carry an additional one five eight eight
00:15:10.519 --> 00:15:14.950 align:start position:0%
carry an additional one five eight eight
kilograms<00:15:11.360> or<00:15:11.660> an<00:15:12.290> additional<00:15:12.740> 18<00:15:13.220> passengers
00:15:14.950 --> 00:15:14.960 align:start position:0%
kilograms or an additional 18 passengers
00:15:14.960 --> 00:15:16.870 align:start position:0%
kilograms or an additional 18 passengers
however<00:15:15.620> the<00:15:15.710> additional<00:15:15.950> Run<00:15:16.399> Road<00:15:16.580> length
00:15:16.870 --> 00:15:16.880 align:start position:0%
however the additional Run Road length
00:15:16.880 --> 00:15:19.570 align:start position:0%
however the additional Run Road length
is<00:15:17.060> only<00:15:17.390> partly<00:15:17.930> effective<00:15:18.339> because<00:15:19.339> it<00:15:19.460> only
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is only partly effective because it only
00:15:19.580 --> 00:15:22.300 align:start position:0%
is only partly effective because it only
affects<00:15:19.820> one<00:15:20.089> limitation<00:15:21.080> the<00:15:21.740> ability<00:15:22.220> of
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affects one limitation the ability of
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affects one limitation the ability of
the<00:15:22.460> IRA<00:15:22.940> to<00:15:23.540> obtain<00:15:23.870> decision<00:15:24.410> speed<00:15:24.820> doesn't
00:15:25.810 --> 00:15:25.820 align:start position:0%
the IRA to obtain decision speed doesn't
00:15:25.820 --> 00:15:28.090 align:start position:0%
the IRA to obtain decision speed doesn't
change<00:15:26.060> the<00:15:26.600> angle<00:15:26.990> of<00:15:27.080> climb<00:15:27.230> and<00:15:27.680> the
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change the angle of climb and the
00:15:28.100 --> 00:15:29.620 align:start position:0%
change the angle of climb and the
ability<00:15:28.550> to<00:15:28.580> clear<00:15:28.940> the<00:15:29.089> surrounding
00:15:29.620 --> 00:15:29.630 align:start position:0%
ability to clear the surrounding
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ability to clear the surrounding
mountains<00:15:31.720> there<00:15:32.720> are<00:15:32.899> many<00:15:33.080> instances<00:15:33.740> where
00:15:33.940 --> 00:15:33.950 align:start position:0%
mountains there are many instances where
00:15:33.950 --> 00:15:37.389 align:start position:0%
mountains there are many instances where
weight<00:15:34.220> is<00:15:34.459> crucial<00:15:35.000> not<00:15:35.300> just<00:15:35.600> aircraft<00:15:36.399> for
00:15:37.389 --> 00:15:37.399 align:start position:0%
weight is crucial not just aircraft for
00:15:37.399 --> 00:15:39.519 align:start position:0%
weight is crucial not just aircraft for
example<00:15:37.430> here<00:15:38.060> in<00:15:38.180> the<00:15:38.270> business<00:15:38.450> school<00:15:38.750> we
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example here in the business school we
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example here in the business school we
don't<00:15:39.620> the<00:15:39.890> lift<00:15:40.130> to<00:15:40.310> the<00:15:40.430> staff<00:15:40.730> office<00:15:40.940> is
00:15:41.230 --> 00:15:41.240 align:start position:0%
don't the lift to the staff office is
00:15:41.240 --> 00:15:43.780 align:start position:0%
don't the lift to the staff office is
continually<00:15:41.870> breaking<00:15:42.170> down<00:15:42.529> how<00:15:43.399> can<00:15:43.640> we
00:15:43.780 --> 00:15:43.790 align:start position:0%
continually breaking down how can we
00:15:43.790 --> 00:15:45.760 align:start position:0%
continually breaking down how can we
reduce<00:15:43.970> the<00:15:44.390> chances<00:15:44.930> that<00:15:45.170> it'll<00:15:45.649> be
00:15:45.760 --> 00:15:45.770 align:start position:0%
reduce the chances that it'll be
00:15:45.770 --> 00:15:49.060 align:start position:0%
reduce the chances that it'll be
overcrowded<00:15:47.320> we<00:15:48.320> can<00:15:48.470> use<00:15:48.709> our<00:15:48.920> understanding
00:15:49.060 --> 00:15:49.070 align:start position:0%
overcrowded we can use our understanding
00:15:49.070 --> 00:15:53.110 align:start position:0%
overcrowded we can use our understanding
of<00:15:49.730> normal<00:15:50.180> distribution<00:15:51.550> we<00:15:52.550> can<00:15:52.580> work<00:15:52.910> out
00:15:53.110 --> 00:15:53.120 align:start position:0%
of normal distribution we can work out
00:15:53.120 --> 00:15:54.610 align:start position:0%
of normal distribution we can work out
from<00:15:53.300> the<00:15:53.450> knowledge<00:15:53.779> of<00:15:53.899> the<00:15:53.959> way<00:15:54.200> the<00:15:54.380> school
00:15:54.610 --> 00:15:54.620 align:start position:0%
from the knowledge of the way the school
00:15:54.620 --> 00:15:57.220 align:start position:0%
from the knowledge of the way the school
operates<00:15:55.070> that<00:15:55.940> the<00:15:56.060> mean<00:15:56.330> number<00:15:56.570> of<00:15:56.839> people
00:15:57.220 --> 00:15:57.230 align:start position:0%
operates that the mean number of people
00:15:57.230 --> 00:16:00.280 align:start position:0%
operates that the mean number of people
using<00:15:57.440> the<00:15:57.740> lift<00:15:57.950> at<00:15:58.100> any<00:15:58.250> time<00:15:58.550> is<00:15:58.790> four<00:15:59.290> with
00:16:00.280 --> 00:16:00.290 align:start position:0%
using the lift at any time is four with
00:16:00.290 --> 00:16:02.680 align:start position:0%
using the lift at any time is four with
a<00:16:00.320> standard<00:16:00.770> deviation<00:16:01.070> of<00:16:01.399> two<00:16:02.149> people
00:16:02.680 --> 00:16:02.690 align:start position:0%
a standard deviation of two people
00:16:02.690 --> 00:16:05.860 align:start position:0%
a standard deviation of two people
here's<00:16:03.500> the<00:16:03.649> problem<00:16:03.980> if<00:16:04.940> the<00:16:05.089> manufacturer
00:16:05.860 --> 00:16:05.870 align:start position:0%
here's the problem if the manufacturer
00:16:05.870 --> 00:16:08.170 align:start position:0%
here's the problem if the manufacturer
and<00:16:06.230> the<00:16:06.410> architects<00:16:06.950> of<00:16:07.100> the<00:16:07.250> building<00:16:07.670> have
00:16:08.170 --> 00:16:08.180 align:start position:0%
and the architects of the building have
00:16:08.180 --> 00:16:10.240 align:start position:0%
and the architects of the building have
calculated<00:16:08.810> that<00:16:08.959> the<00:16:09.230> lift<00:16:09.470> can<00:16:09.680> hold<00:16:09.980> up<00:16:10.220> to
00:16:10.240 --> 00:16:10.250 align:start position:0%
calculated that the lift can hold up to
00:16:10.250 --> 00:16:13.000 align:start position:0%
calculated that the lift can hold up to
eight<00:16:10.640> people<00:16:11.060> or<00:16:11.779> six<00:16:12.350> hundred<00:16:12.500> and<00:16:12.770> thirty
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eight people or six hundred and thirty
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eight people or six hundred and thirty
kilograms<00:16:14.529> one<00:16:15.529> of<00:16:15.649> the<00:16:15.709> chances<00:16:16.310> that<00:16:16.490> eight
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kilograms one of the chances that eight
00:16:17.360 --> 00:16:19.930 align:start position:0%
kilograms one of the chances that eight
or<00:16:17.720> more<00:16:18.020> people<00:16:18.350> will<00:16:18.950> use<00:16:19.250> the<00:16:19.459> lift<00:16:19.700> at<00:16:19.880> the
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or more people will use the lift at the
00:16:19.940 --> 00:16:22.620 align:start position:0%
or more people will use the lift at the
same<00:16:20.180> time
00:16:22.620 --> 00:16:22.630 align:start position:0%
00:16:22.630 --> 00:16:25.319 align:start position:0%
notice<00:16:23.440> that<00:16:24.009> there's<00:16:24.250> an<00:16:24.370> assumption<00:16:24.790> that
00:16:25.319 --> 00:16:25.329 align:start position:0%
notice that there's an assumption that
00:16:25.329 --> 00:16:29.040 align:start position:0%
notice that there's an assumption that
each<00:16:26.230> person<00:16:26.829> here<00:16:27.220> weighs<00:16:28.149> on<00:16:28.540> average
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each person here weighs on average
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each person here weighs on average
seventy<00:16:29.949> eight<00:16:30.069> point<00:16:30.399> seven<00:16:30.670> five<00:16:31.120> kilograms
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seventy eight point seven five kilograms
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seventy eight point seven five kilograms
given<00:16:34.509> a<00:16:34.600> normal<00:16:35.050> distribution<00:16:35.699> we<00:16:36.699> can<00:16:36.850> first
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given a normal distribution we can first
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given a normal distribution we can first
find<00:16:37.360> the<00:16:37.720> z-score<00:16:38.050> with<00:16:38.589> our<00:16:38.740> formula<00:16:39.300> Z
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find the z-score with our formula Z
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find the z-score with our formula Z
equals<00:16:41.139> X<00:16:41.589> minus<00:16:42.130> mu<00:16:42.819> over<00:16:43.029> Sigma<00:16:45.060> so<00:16:46.060> Z<00:16:46.779> in<00:16:46.990> our
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equals X minus mu over Sigma so Z in our
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equals X minus mu over Sigma so Z in our
case<00:16:47.500> is<00:16:47.889> 8<00:16:49.139> minus<00:16:50.139> 4<00:16:51.180> over<00:16:52.180> 2<00:16:53.910> which<00:16:54.910> gives<00:16:54.940> 2
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looking<00:16:58.750> at<00:16:58.899> the<00:16:58.990> Zed<00:16:59.170> table<00:16:59.620> we<00:16:59.709> find<00:16:59.740> out
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looking at the Zed table we find out
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looking at the Zed table we find out
that<00:17:00.370> the<00:17:00.550> z-score<00:17:00.819> of<00:17:01.149> 2<00:17:02.190> corresponds<00:17:03.190> to
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that the z-score of 2 corresponds to
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that the z-score of 2 corresponds to
naught<00:17:04.630> point<00:17:04.959> nine<00:17:05.439> seven<00:17:06.159> seven<00:17:06.760> two
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naught point nine seven seven two
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naught point nine seven seven two
that<00:17:08.650> is<00:17:08.799> to<00:17:08.980> say<00:17:09.449> ninety<00:17:10.449> seven<00:17:10.839> point<00:17:11.079> seven
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that is to say ninety seven point seven
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that is to say ninety seven point seven
two<00:17:12.429> percent<00:17:13.059> of<00:17:13.240> the<00:17:13.360> time<00:17:13.799> less<00:17:14.799> than<00:17:15.069> eight
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two percent of the time less than eight
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two percent of the time less than eight
people<00:17:15.880> are<00:17:16.059> wanting<00:17:16.780> to<00:17:16.809> use<00:17:16.929> the<00:17:17.260> lift<00:17:17.470> at
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people are wanting to use the lift at
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people are wanting to use the lift at
the<00:17:17.650> same<00:17:17.740> time<00:17:18.809> but<00:17:19.809> we<00:17:19.990> were<00:17:20.140> asked<00:17:20.589> what's
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the same time but we were asked what's
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the same time but we were asked what's
the<00:17:21.339> proportion<00:17:21.549> of<00:17:22.150> the<00:17:22.270> time<00:17:22.539> that<00:17:22.780> more
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the proportion of the time that more
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the proportion of the time that more
than<00:17:23.470> eight<00:17:23.709> people<00:17:24.010> wish<00:17:24.730> to<00:17:24.939> use<00:17:25.120> the<00:17:25.299> lift
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than eight people wish to use the lift
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than eight people wish to use the lift
this<00:17:27.250> is<00:17:27.459> easy<00:17:27.669> to<00:17:27.909> calculate<00:17:28.169> since<00:17:29.169> the<00:17:29.350> area
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this is easy to calculate since the area
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this is easy to calculate since the area
under<00:17:30.220> the<00:17:30.340> curve<00:17:30.669> is<00:17:30.940> one<00:17:31.390> or<00:17:31.870> a<00:17:32.200> hundred
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under the curve is one or a hundred
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under the curve is one or a hundred
percent<00:17:33.240> then<00:17:34.240> the<00:17:34.360> proportion<00:17:34.780> of<00:17:35.610> eight<00:17:36.610> or
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percent then the proportion of eight or
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percent then the proportion of eight or
more<00:17:37.360> people<00:17:37.750> wishing<00:17:38.350> to<00:17:38.500> use<00:17:38.530> the<00:17:38.799> lift<00:17:39.280> is
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more people wishing to use the lift is
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more people wishing to use the lift is
exactly<00:17:40.690> one<00:17:41.409> -<00:17:42.309> naught<00:17:43.240> point<00:17:43.539> nine<00:17:43.900> seven
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exactly one - naught point nine seven
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exactly one - naught point nine seven
seven<00:17:44.740> two<00:17:45.720> which<00:17:46.720> equals<00:17:47.549> null<00:17:48.549> point<00:17:48.940> zero
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seven two which equals null point zero
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seven two which equals null point zero
two<00:17:49.570> three<00:17:50.110> or<00:17:52.080> two<00:17:53.080> point<00:17:53.440> three<00:17:53.590> percent<00:17:55.919> so
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two three or two point three percent so
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two three or two point three percent so
it's<00:17:57.039> only<00:17:57.159> very<00:17:57.429> occasionally<00:17:57.850> that<00:17:58.840> more
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it's only very occasionally that more
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it's only very occasionally that more
than<00:17:59.380> eight<00:17:59.679> people<00:18:00.010> will<00:18:00.370> turn<00:18:00.640> up<00:18:00.789> at<00:18:00.940> the
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than eight people will turn up at the
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than eight people will turn up at the
same<00:18:01.270> time<00:18:01.570> to<00:18:01.780> use<00:18:01.960> the<00:18:02.140> lift<00:18:02.370> the<00:18:03.370> chances
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same time to use the lift the chances
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same time to use the lift the chances
are<00:18:03.909> only<00:18:04.210> around<00:18:04.480> one<00:18:04.809> in<00:18:04.960> 50<00:18:05.669> notice<00:18:06.669> there
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are only around one in 50 notice there
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are only around one in 50 notice there
are<00:18:07.419> normal<00:18:07.809> distribution<00:18:08.380> tables<00:18:08.799> giving
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are normal distribution tables giving
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are normal distribution tables giving
p-values<00:18:09.880> greater<00:18:10.299> than<00:18:10.539> X<00:18:10.720> as<00:18:10.990> we<00:18:11.530> used<00:18:11.799> in
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p-values greater than X as we used in
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p-values greater than X as we used in
our<00:18:12.070> first<00:18:12.429> example<00:18:13.059> and<00:18:13.380> tables<00:18:14.380> giving
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our first example and tables giving
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our first example and tables giving
p-values<00:18:15.340> less<00:18:15.789> than<00:18:16.000> X<00:18:16.179> that<00:18:16.870> we've<00:18:17.080> used<00:18:17.289> to
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p-values less than X that we've used to
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p-values less than X that we've used to
solve<00:18:17.799> our<00:18:17.980> lift<00:18:18.280> problem
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we<00:18:23.049> began<00:18:23.350> by<00:18:23.409> saying<00:18:23.860> that<00:18:24.399> aircraft<00:18:24.580> have<00:18:25.149> to
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we began by saying that aircraft have to
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we began by saying that aircraft have to
operate<00:18:25.720> within<00:18:25.990> a<00:18:26.139> wide<00:18:26.379> margin<00:18:26.740> of<00:18:27.190> error<00:18:27.370> to
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operate within a wide margin of error to
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operate within a wide margin of error to
ensure<00:18:27.970> safety<00:18:28.799> an<00:18:29.799> understanding<00:18:30.700> of<00:18:30.820> the
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ensure safety an understanding of the
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ensure safety an understanding of the
normal<00:18:31.419> distribution<00:18:32.129> makes<00:18:33.129> that<00:18:33.460> very
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normal distribution makes that very
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normal distribution makes that very
clear
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clear
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clear
but<00:18:36.249> as<00:18:36.370> we<00:18:36.490> shall<00:18:36.669> see<00:18:36.850> in<00:18:36.970> our<00:18:37.090> next<00:18:37.480> film
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but as we shall see in our next film
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but as we shall see in our next film
there<00:18:37.929> are<00:18:37.960> many<00:18:38.230> other<00:18:38.409> examples<00:18:39.129> of<00:18:39.220> data
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there are many other examples of data
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there are many other examples of data
that<00:18:40.029> will<00:18:40.240> conform<00:18:40.600> to<00:18:40.720> a<00:18:40.899> normal
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that will conform to a normal
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that will conform to a normal
distribution<00:18:41.649> not<00:18:42.610> just<00:18:42.820> weight<00:18:43.379> so<00:18:44.379> the
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distribution not just weight so the
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distribution not just weight so the
techniques<00:18:44.919> based<00:18:45.249> on<00:18:45.429> such<00:18:45.639> a<00:18:45.669> distribution
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techniques based on such a distribution
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techniques based on such a distribution
or<00:18:46.539> widespread<00:18:47.499> use<00:18:48.100> across<00:18:49.090> the<00:18:49.600> social
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or widespread use across the social
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or widespread use across the social
sciences
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Oh
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00:19:11.520 --> 00:19:13.580 align:start position:0%
you