If a one-tailed F-test is employed when testing a null hypothesis about two population variances, the test statistic is an F-value formed by taking the ratio of the two sample variances so that the sample variance predicted to be larger is placed in the numerator.

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In a one-tailed F-test for comparing two population variances, the test statistic is indeed an F-value calculated as the ratio of the two sample variances, where the sample variance expected to be larger (based on the alternative hypothesis) is placed in the numerator. This ensures that the F-value will be greater than or equal to 1, facilitating a one-tailed test in the direction of the alternative hypothesis.

If a One-Tailed F-Test Is Employed When Testing a Null