Introduction The chi-squared test of independence is one of the most basic and common hypothesis tests in the statistical analysis of categorical data. Given 2 categorical random variables, and , the chi-squared test of independence determines whether or not there exists a statistical dependence between them. Formally, it is a hypothesis test with the following null and […]
In an earlier video, I showed how to calculate expected counts in a contingency table using marginal proportions and totals. (Recall that expected counts are needed to conduct hypothesis tests of independence between categorical random variables.) Today, I want to share a second video of calculating expected counts – this time, using joint probabilities. This method uses […]
A common task in statistics and biostatistics is performing hypothesis tests of independence between 2 categorical random variables. The data for such tests are best organized in contingency tables, which allow expected counts to be calculated easily. In this video tutorial in my Youtube channel, I demonstrate how to calculate expected counts using marginal proportions […]
