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F-test
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==== Disadvantages ==== * Sensitivity to assumptions: the F-test is highly sensitive to certain assumptions, such as homogeneity of variance and normality which can affect the accuracy of test results. * Limited scope to group comparisons: the F-test is tailored for comparing variances between groups, making it less suitable for analyses beyond this specific scope. * Interpretation challenges: the F-test does not pinpoint specific group pairs with distinct variances. Careful interpretation is necessary, and additional post hoc tests are often essential for a more detailed understanding of group-wise differences.
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