T Test And Chi Square Test Difference. Allows you to test whether or not there is a statistically significant difference between two population means. The difference is meaningful.
The chi square test used for testing relationships between categorical values. But it does not tell you the direction or the size of the relationship. While the chi square test also helps you to find the relationship between two variables but has no direction and size of the relationship.
Moreover when there is a standard deviation given and the sample size is large on the other hand chi square is a procedure used for testing if two.
The difference is meaningful. But it does not tell you the direction or the size of the relationship. 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 high chi square value means that data doesn t fit.
