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T Test And Chi Square Test Difference

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T Test And Chi Square Test Difference. There are two type of chi square test. The t test is an inferential.

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When you reject the null hypothesis with a t test you are saying that the means are statistically different. There is no statistical difference between the means of the two groups. There are two type of chi square test.

Allows you to test whether or not there is a statistically significant difference between two population means.

The hypothesis being tested for chi square is. T test for a difference in means. Variable a and variable b are independent. The t test is an inferential.

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