Lesson 3: Two-Way Tables: Independence and Association
This lesson is all about analysis of two-way tables, and it is split into several parts. We begin with the structure of the simplest two way table, a 2×2 table, and its corresponding joint distribution. We then consider how to extend the goodness-of-fit tests that we saw in Lesson 2. More specifically, we will learn the Chi-squared test of independence for two discrete binary random variables, and basic measures of associations such as odds-ratios and relative risk that will describe the strength of dependence between two binary random variables. We will then extend these concepts onto an I × J table, to analyse two discrete random variables one with I categories and the other one with J categories. In the Exact Tests section, we will consider a type of analysis for two-way tables that is applicable when the sample size is small and/or cell counts are small, and the large-sample methodology does not hold.