Please answer True or False 1. As power decreases, the probability of correctly

Question

Please answer True or False

1. As power decreases, the probability of correctly rejecting the null hypothesis increases.

2. If a researcher fails to reject the null hypothesis, then she must “accept” the null hypothesis.

3. A researcher will always know for sure when she has made a Type I error

4. If the obtained p value is less than the alpha level, the null hypothesis should be rejected.

5. It is impossible to make a Type II error when you reject the null hypothesis.

6. If a researcher uses a one-tailed test, it will be easier for her to reject the null hypothesis than if she uses a two-tailed test, assuming the effect is in the predicted direction.

7. If a researcher uses a one-tailed test, it will be easier for her to reject the null hypothesis than if she uses a two-tailed test, even if the effect is in not the predicted direction.

8. All else being equal, if the N in the sign test decreases, it becomes harder to reject the null hypothesis.

9. 15 trials, increasing the alpha level from .01 to .05 means that fewer of the possible particular outcomes (like number of trials correct) will allow rejection of the null hypothesis.

10. All else being equal, if a researcher increases the likelihood of making a Type I error by increasing the value of alpha, then she is also more likely to make a Type II error.

Explanation / Answer

Q1) FALSE , As power increases, the probability of correctly rejecting the null hypothesis increases.

Q2)TRUE

Q3) False because a researcher will never know when she has made a Type I error

Type one error = probablity of rejecting HO when Ho is true.

Q 4 ) TRUE

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