As opposed to one tailed tests, a two tailed test A. Has less chance of making a

Question

As opposed to one tailed tests, a two tailed test A. Has less chance of making a type II error B. Has more chance of making a type II error C. Assumes two hypotheses, the null and alternative D. Tried to prove the alternative hypothesis true by assuming there is no difference As opposed to one tailed tests, a two tailed test A. Has less chance of making a type II error B. Has more chance of making a type II error C. Assumes two hypotheses, the null and alternative D. Tried to prove the alternative hypothesis true by assuming there is no difference A. Has less chance of making a type II error B. Has more chance of making a type II error C. Assumes two hypotheses, the null and alternative D. Tried to prove the alternative hypothesis true by assuming there is no difference

Explanation / Answer

Here' the answer to the question :

A is the answer.

C is wrong. In both tailed tests we have 2 hypothesis, the null and the alternative

D. is wrong. In both tests, this is what we strive for

For a given effect size, sample size, and alpha, a one-tailed test is more powerful than a two-tailed test. More power is less type 2 error. And hence,

A is correct, B is wrong.

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