\"Statistical power is an important determination when planning a research study

Question

"Statistical power is an important determination when planning a research study. The higher the power, the higher the chance the study will produce a statistically significant result if if Ho is rejected. A widely used rule is that study should have 80% power to be worth doing" (J. Cohen, 1988: Statistical power analysis for the behavioral sciences, 2nd ed. Hillsdale, NJ: Erlbaum).

Which one of the following changes made to a study plan will increase its statistical power?

1.Changing the study's definition so that the predicted difference between population means decreases

2. Decrease sample size

3. Increase population standard deviation

4. Increase effect size

How do you support the answer you choose?

Explanation / Answer

Option D is Correct. Increase effect size because if we increase the effect size, probability of type 2 error will decrease as the probability of type 1 error will increase and thus power of test will increase as power of test is 1-P(type 2 error)

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