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Two Sample T-Test Unequal Variance Interpretation

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Two Sample T-Test Unequal Variance Interpretation. Use the unequal variance t test, also called the welch t test. You can use the test when your data values are independent, are randomly sampled from two normal populations and the two independent groups have equal variances .

Variance How Do I Interpret The Results From The F Test In Excel Cross Validated
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It assues that both groups of data are sampled from gaussian populations, . Use the unequal variance t test, also called the welch t test. This theorem can be used to test the difference between sample means even when the population variances are unknown and unequal.

Populations of concern are normally .

As a rule of thumb, if the ratio of the larger variance to the smaller variance is less than 4 then we can assume the variances are . It assues that both groups of data are sampled from gaussian populations, . Populations of concern are normally . As a rule of thumb, if the ratio of the larger variance to the smaller variance is less than 4 then we can assume the variances are .