Chi Square Test Vs T Test. Allows you to test whether or not there is a statistically significant difference between two population means. T test for a difference in means.
T test for a difference in means. The difference is meaningful. 5 3 2 6 chi square test to test if two categorical variables are significantly associated the chi square test is commonly used.
Allows you to test whether there is a relationship between two variables.
A t test is designed to test a null hypothesis by determining if two sets of data are significantly different from one another while a chi squared test tests the null hypothesis by finding out if there is a relationship between the two sets of data. The hypothesis being tested for chi square is. The null hypothesis is a prediction that states there is no relationship between two variables. Variable a and variable b are not independent.
