If you do not predict that a relationship between two variables will be either positive or negative, what type of test should you use?
A)two tailed
B)ANOVA
C)one tailed
D)Cohen's d

Question

Quizplus · Accepted Answer

A two-tailed test is appropriate when there is no prior prediction about the direction of the relationship between two variables. It tests whether there is a significant difference between the two groups or conditions being compared, regardless of the direction of the effect. ANOVA and Cohen's d are not appropriate for this scenario, and a one-tailed test would be unnecessary since there is no directional prediction.

If You Do Not Predict That a Relationship Between Two