Stats Question

Question

1)Rejecting the null hypothesis when the research hypothesis is false is

a. effect size.

b. power.

c. a Type I error.

d. a Type II error

2)Failing to reject the null hypothesis when the research hypothesis is true is

a. effect size.

b. power.

c. a Type I error.

d. a Type II error

3)Setting the significance level cutoff at .10 instead of the more usual .05 increases the likelihood of

a. a Type I error.

b. a Type II error.

c. failing to reject the null hypothesis.

d. accepting the null hypothesis when, in fact, it is false.

 

 

Answer 1

Answer 2

1. This is a type 1 error. Type 1 is when a null hypothesis is incorrectly rejected. Power and Effect Size are not related to rejecting the null hypothesis.
2. This is a type 2 error.
3. This increases the likelihood of a type 1 error.