STAT 295: Elections with Statistics

[The Learning Modules]
The Learning Modules

This page provides background information on the main modules of this course. There are seven modules spread over three major sections. The first section is a review of MATH 321. The second section covers the mathematical theory behind statistics. This section looks at estimators, confidence intervals, and hypothesis testing. The third section applies the theory to three major types of questions statisticians are asked to answer: goodness-of-fit, regression, and comparing several means.

Part O: Review

[mod 0] Module 0: Prerequisites

Part I: Theory

[mod 1] Module 1: Estimators
[mod 2] Module 2: Intervals
[mod 3] Module 3: Testing

Part II: Application

[mod 4] Module 4: Goodness-of-Fit
[mod 5] Module 5: Linear Regression
[mod 6] Module 7: Bayesian Analysis