1- In the sign test, when N increases what happens to the probability of making a Type II error?

2- In the sign test, when N increases and alpha is made less stringent, what happens to power?

3- As power decreases, what happens to the probability of correctly rejecting the null hypothesis?

4- As alpha increases what happens to the p value?

5- What happens to the probability of making a Type I error as power increases?

6- What happens to the probability of making a Type I error when alpha is made more stringent, such as reducing it from 0.05 to 0.01?

7- As N increases and the estimated size of the effect moves closer to the .50 column, what happens to the probability of making a Type II error?

8- As the p value decreases, what happens to the probability of rejecting the null hypothesis?

9- As the value of the obtained statistic decreases, what happens to the probability of rejecting the null hypothesis?

10- As the value of the obtained statistic increases, what happens to the critical value?

The answers to all these questions have to be from this choices?

- t increases

It decreases

It stays the same

Not enough information to tell