If we consider that the two samples have the same variance, the common variance is estimated by: XLSTAT gives the option of using Fisher's F test to test the null hypothesis of equality of the variances of the groups (samples) and to use the result of the test in the subsequent calculations. The use of Student's t test requires a decision to be taken beforehand on whether variances of the samples are to be considered equal or not.
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Display dominance diagrams to make a visual comparison of the samples.Use an F-test to test the equality of variances and help you choose between the t-test and the z-test.
![two sample unequal variance t test two sample unequal variance t test](https://i.ytimg.com/vi/5MFjwM6K5Sg/hqdefault.jpg)
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Choose the Monte-Carlo method or the asymptotic p-value method for the computation of the p-value.Choose between three different alternative hypotheses.Run a two-sample test for independent or paired samples.XLSTAT provides a complete and flexible two-sample t-tests and z-tests feature that proposes several standard and advanced options that will let you gain a deep insight on your data: These methods are widely used when it comes to inferential statistics and enable to test a general hypothesis called the null hypothesis. Two-sample t-test and z-test are popular parametric tests in statistics.