T Test U Test. A t test is used as a hypothesis testing tool which allows testing of an assumption applicable to a population. The difference from the z test is that we do not have the information on population variance here.
A t test is used as a hypothesis testing tool which allows testing of an assumption applicable to a population. Despite its lower power it is often favoured over the t test because of the misconception that no assumptions have to be met for the test to be valid. Use this test instead of the stude.
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Use this test instead of the stude. Use this test instead of the stude. In contrast a t test tests a null hypothesis of equal means in two groups against an alternative of unequal means. A t test is a hypothesis test used by the researcher to compare population means for a variable classified into two categories depending on the less than interval variable.
