This class is an introduction to descriptive and inferential statistics that are useful for analyzing data from a variety of fields. Topics covered include summary statistics, graphical methods, and resampling and parametric inference methods for calculating confidence intervals and conducting hypothesis tests. Students will learn how to use the R programming language to explore statistical concepts and to analyze real data. Assignments will consist of weekly problem sets and a final class project where students will gain experience analyzing a dataset in more depth. By the end of the class students will be able to understand the concepts that underlie statistical analyses and will be able to apply statistical methods to gain insight into data that they collect.
Class 1: Class overview
Class 2: Introduction to R
Class 13: Hypothesis tests and p-values
Class 19: Inference using normal distributions
Class 23: Final project presentations
Class 24: Final project presentations
Class 25: Conclusions