What is a correct argument for using a two-tailed test even if there is a clear basis for predicting a result in a given direction?
A)If the null hypothesis is in fact true, a failure to reject it will give stronger evidence in support of it.
B)One-tailed tests cannot be used in almost any real study involving two groups.
C)If an unexpected result comes out opposite to what is predicted, it does not have to be ignored.
D)A two-tailed test gives you a better chance of getting a significant result.

Question

Quizplus · Accepted Answer

A two-tailed test is used to detect effects in both directions, not just the one anticipated. This means if results are significantly different in the unexpected direction, they can still be identified and considered, rather than being ignored as might happen with a one-tailed test focused only on the predicted direction.

What Is a Correct Argument for Using a Two-Tailed Test