The results of a t test for independent means can be misleading when the sample variances are
A)not at all different (e.g.,a 1 : 1 ratio).
B)a little different (e.g.,a 1.5 : 1 ratio).
C)moderately different (e.g.,a 2 : 1 ratio).
D)very different (e.g.,a 4 : 1 ratio).

Question

Quizplus · Accepted Answer

When the sample variances are very different (e.g., a 4:1 ratio or greater), the t-test for independent means can be misleading. In this case, it is better to use a modified t-test that takes into account the unequal variances, such as Welch's t-test or the Satterthwaite approximation. In the other scenarios (A, B, and C), the t-test can still be used, though some adjustments may need to be made depending on the specific circumstances.

The Results of a T Test for Independent Means Can