T Test Chi Square. There are two type of chi square test. Chi square test chi square test is used when we perform hypothesis testing on two categorical variables from a single population or we can say that to compare categorical variables from a single.
When you reject the null hypothesis with a t test you are saying that the means are statistically different. Chi square test helps you to find the type of relationship between variables where the null hypothesis and alternative hypothesis are involved. When you reject the null hypothesis of a t test for a difference in means it means the two population means are not equal.
For a chi squared test the two sets of data must first be divided into categories.
When you reject the null hypothesis of a t test for a difference in means it means the two population means are not equal. A chi square test is a test of statistical significance for categorical variables. Chi square test chi square test is used when we perform hypothesis testing on two categorical variables from a single population or we can say that to compare categorical variables from a single. T test for a difference in means.
