1. Which of the following is true?

Significant results with a small sample are more impressive (more difficult to achieve) than significant results with a large sample

Significant results with a diverse sample are less impressive (more difficult to achieve) than significant results with a non-diverse sample

Significant results with a large sample are more impressive (more difficult to achieve) than significant results with a small sample

2Which of the following is true?

Increasing an experiment's sample size is a relatively easy way that an experimenter can increase probability of Type II error

Increasing an experiment's sample size is a relatively easy way that an experimenter can increase probability of Type I error

Increasing an experiment's sample size is a relatively easy way that an experimenter can increase power

Increasing an experiment's sample size is a relatively easy way that an experimenter can reduce effect size

3Another name for a Type II error is making:

the correct decision regarding the null hypothesis

a false negative

the correct decision regarding the research hypothesis

a false positive

4Power exists when the research hypothesis is ______, and the study has _______ results

False, Significant

False, Non-significant

True, Significant

True, Non-significant

5Power can be decreased by:

Decreasing the sample size

Decreasing the standard deviation between two populations

Increasing the sample size

Increasing effect size

6Which of the following istrue?

When the difference between the means decreases and the variance within each distribution remains constant, the effect size becomes larger

The size of the difference between the means has no impact on effect size

When the size of the variance within each distribution increases but the difference between the means remains constant, the effect size increases

Two major contributing factors to effect size are the difference between the means and the variance within each distribution

7The effect size is one of two major factors that contribute to power; the other factor is:

Group of answer choices

the sample's standard deviation

sample size

the mean of the known population

the minimum meaningful difference

8The probability that you will incorrectly fail to reject the null hypothesis is:

Beta

Alpha

1 - Alpha

1 - Beta

9Beta is the probability of:

Not rejecting the research hypothesis when it is false

Rejecting the null when it is true

Not rejecting the null hypothesis when it is in fact false

Rejecting the null hypothesis when it is in fact false

10A study is conducted to determine whether students who participate in more extracurricular activities have higher GPAs than students who participate in the typical number of extracurricular activities. What would a Type II error be in this study?

Concluding that students who participate in more extracurricular activities do have higher GPAs than students who participate in the typical number of extracurricular activities and in reality, they don't

Concluding that students who participate in more extracurricular activities do not have higher GPAs than students who participate typical number of extracurricular activities and in reality, they do

Concluding that students who participate in more extracurricular activities do have higher GPAs than students who participate in the typical number of extracurricular activities and in reality, they do

Concluding that students who participate in more extracurricular activities do not have higher GPAs than students who participate in the typical number of extracurricular activities and in reality, they don't

11Two tailed tests _______________, than one tailed test

Have more power

Have less power

12Effect size decreases when there is:

A smaller difference between the two population means

A greater difference between the two population means

13The significance level is equal to the chance of making a:

Type I error

Type II error

14The bigger the effect size, the lesser the power.

True

False

15With regard to the .01, .05 and .10 significance levels, which of the following is true?

p < .01 gives the highest statistical power

p < .10 gives the highest statistical power

p<.10 gives the lowest statistical power

p < .05 gives the lowest statistical power