Step 2: Determine Equal or Unequal Variance. Next, we can calculate the ratio of the sample variances: Here are the formulas we typed into each cell: Cell E1: =VAR.S (A2:A21) Cell E2: =VAR.S (B2:B21) Cell E3: =E1/E2. We can see that the ratio of the larger sample variance to the smaller sample variance is 4.533755. One-sample, two-sample, paired, equal, and unequal variance are the types of T-tests users can use for mean comparisons. T-Test Explained A T-test studies a set of data gathered from two similar or different groups to determine the probability of the difference in the result than what is usually obtained.

In the Outputs tab (Means sub-tab), check a Tukey's test and a REGWQ test in the Pariwise comparisons field. Activate the Comparisons with a control option to run two-sided Dunnett's test. Click OK to launch the computations. In the control category selection dialog box, choose the T1 control group for the Dunnett test.

Similarly, the unpaired t test assumes that the data are sampled from Gaussian populations with equal variances, and GraphPad Prism tests this assumtpion with an F test. If these tests result in a small P value, you have evidence that the variance (and thus standard deviations) of the groups differ significantly.
Bartlett’s test is sensitive to normality, but can be used to test for homoscedasticity (e.g. equality of variance) of more than two samples. The code below demonstrates how to use code the
Standard version of the Student t test assumes equal variances for two populations, but the formula for t-test indeed takes account of each standard variances (S1, S2). If equal variances needed to be satisfied in t-test, then we don't write down each variance as S1 or S2, just one like S in the formula. I know I must have something missing for JVSaWHR.
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    • how to test for equal variance