Six Sigma Green Belt Certification Practice Exam 2026 – Your All-In-One Guide to Exam Success!

The inference test that is used to assess whether the variances of two samples are equal is the F test. This statistical test specifically examines the ratio of two sample variances to determine if they come from populations with equal variances. Using an F test, you can derive valuable insights about the homogeneity of variances, which is a key assumption in various parametric tests, including the two-sample t-tests.

In contrast, the options related to t-tests focus on comparing means rather than variances. The two mean unequal variance t test deals with situations where the assumption of equal variances cannot be made, thus not being appropriate for testing variance equality. The two mean equal variance t test assumes that variances are equal, making it unsuitable for variance testing itself. The paired t test is designed for comparing means of two related samples, so it does not apply to variance testing either. By utilizing the F test, you ensure a precise examination of variance equality, which is crucial before proceeding with tests that compare means.