Hi everyone, I have just recently been learning how to do chi square tests. And here is the summary that I came up with. This is how I understand it. Let me know if I am correct or not. Chi square test is often applied when we deal with categorical data involving proportions. There are two types of Chi square tests: Goodness-of-fit chi square test, and the Chi square test for independence. Goodness-of-fit Chi square test: This test involves investigating the distribution of population among different categories of a single variable. Thus, it can be thought of as checking whether the “expected” bar graph of a variable for the overall population agrees with the results of our particular sample. Hence, we are checking whether the expected model for the population distribution of a variable will be a good "fit" for the distribution of that same variable observed in our sample. Or, putting it a different way, how "close" are the observed... read more