T Test Chi Square. The two sample t test evaluates the null hypothesis when two sets of data are collected. When you reject the null hypothesis with a t test you are saying that the means are statistically different.
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Chi square test helps you to find the type of relationship between variables where the null hypothesis and alternative hypothesis are involved. A chi square test is a test of statistical significance for categorical variables. If you reject the null hypothesis then that means.
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But it does not tell you the direction or the size of the relationship. The two sample t test evaluates the null hypothesis when two sets of data are collected. There is no relationship between the two variables. A chi square test is a test of statistical significance for categorical variables.
