YouTube video explaining the uses and interpretation of the chi-squared test of independence.
What this resource offers
This 20-minute video serves as an introduction to the chi-squared test of independence (also referred to as the chi-squared test of association). It uses a practical example to demonstrate the calculation of expected cell counts and the chi-square statistic, and it discusses how to formulate null and alternative hypotheses. The video concludes with guidance on interpreting p-values and determining critical chi-squared values to potentially reject the null hypothesis. The presentation's clear, step-by-step approach makes it easy to follow.
Who created it
This video was created by Justin Zeltzer, a collaborative biostatistician and lecturer in public health at the University of Sydney, Australia, who runs the ZStatistics website and YouTube channel.