T Test Vs Chi Square. This introduction to stats will give you an understanding of how to apply statistical tests to different ty. When you reject the null hypothesis of a chi square test for independence it means there is a significant association between the two variables.
But it does not tell you the direction or the size of the relationship. There is no relationship between the two variables. When you reject the null hypothesis with a t test you are saying that the means are statistically different.
There is no relationship between the two variables.
The t test is an inferential. There is no relationship between the two variables. One of the more confusing things when beginning to study stats is the variety of available test statistics. When you reject the null hypothesis of a chi square test for independence it means there is a significant association between the two variables.
