Lecture Slides in Statistics for Economists

Videos and downloadable PDF slides on eleven topics in descriptive statistics. The course uses pandas, the Python Data Analysis Library. Material on the same site introduces Python and pandas.

Lecture slides, practice exams and online tutorials in R from a course in "how to learn from data and understand uncertainty using the ideas of probability theory and statistics" given in 2019

Slides and handouts from three courses, including presentation slides on: Measurement, frequency tables, mean, median, mode, range and standard deviation; Using and Sourcing Secondary Data; Sampling and selecting; Correlation and Simple Linear Regression; Hypotheses, Probability, Chi-Square and T-Tests; Binary and multinomial logistic regression using examples from the Social Capital Teaching Dataset (ESDS); and Research Designs for Quantitative Methods.

There are also PDF booklets introducing students to SPSS, NVivo and the online survey tool SurveyMonkey.

A 61-slide presentation about graphical presentation of data. The link includes a text transcript, an online viewer and the facility to download the file as an OpenDocument Presentation.

Lecture notes and assessment materials from a general undergraduate course in statistical thinking taught in 2011 and based on the Tamhane & Dunlop textbook Statistics and Data Analysis: From Elementary to Intermediate. Topics include "Summarizing and Exploring Data", "Basic Concepts of Inference", "Inferences for Proportions and Count Data", "Similar Linear Regression and Correlation", and"Multiple Linear Regression"