When there is no prediction 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

When there is no prediction that a relationship between two variables will be either positive or negative,what type of test should you use?A) two-tailedB) ANOVAC) one-tailedD) Cohen's d

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Final Answer : A, Explanation :  A two-tailed test is appropriate when there is no specific directional prediction about the relationship between two variables. This type of test allows for the possibility that there may be either a positive or negative correlation. ANOVA and Cohen's d are not appropriate for testing correlations between two variables, and a one-tailed test assumes a specific directional prediction.

When there is no prediction 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

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