Errors in Hypothesis Testing, Statistical Power MCQs
Errors in Hypothesis Testing, Statistical Power MCQs
Answer these 20+ Errors in Hypothesis Testing, Statistical Power MCQs and assess your grip on the subject of Errors in Hypothesis Testing, Statistical Power.
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1: ____ Error that occurs when the null hypothesis is true but the decision is made to reject the null hypothesis.
A. Type I
B. Type II
C. Type III
D. Type IV
2: ____ Error that occurs when the alternative hypothesis is true but the decision is made to not reject the null hypothesis.
A. Type I
B. Type II
C. Type III
D. Type IV
3: Probability of rejecting the null hypothesis when the alternative hypothesis is true is statistical power
A. True
B. False
4: Differences among the means of groups that comprise an independent variable is ____ group variability
A. Between
B. Within
C. Inside
D. Outside
5: Variability of scores within groups that comprise an independent variable is ___ group variability
A. Between
B. Within
C. Inside
D. Outside
6: Variability that cannot be explained or accounted for is error variance
A. True
B. False
7: Statistic that measure the magnitude of the relationship between variables is measure of effect size
A. True
B. False
8: Percentage of variance in one variable accounted for by another variable is ___ squared
A. A
B. B
C. R
D. X
9: Estimate of the magnitude of the difference between the means of two groups measured in standard deviation units is cohen's d
A. True
B. False
10: If statistical power is .80 (or 80%) and beta is .2 (or 20%), the probability of a type I error is .20 or 20%.
A. True
B. False
11: Increasing sample size increases power and decreases beta.
A. True
B. False
12: If you are using α = .05 and the power of your study is .75 or 75%, what is the probability of a type II error?
A. .05 or 5%
B. .25 or 25%
C. .75 or 75%
D. .95 or 95%
13: Which of the following represents the percentage of variance accounted for?
A. D
B. R2
C. T2
D. D and r‑
14: If you are using α = .01 and the power of your study is .80 or 80%, what is the probability of a type I error?
A. .99 or 99%
B. .80 or 80%
C. .20 or 20%
D. .01 or 1%
15: If the alternative hypothesis is true, it is possible you have both a type I and a type II error.
A. True
B. False
16: Increasing the size of a sample will tend to ______.
A. Increase power
B. Decrease power
C. Decrease type I error
D. Increase type I error
17: Which of the following values for r2 would be indicative of a large effect size?
A. .15
B. .5
C. .8
D. .05
18: Accounting for how much of the variance is considered a large effect in the social sciences?
A. 1%
B. 5%
C. 15%
D. 95%
19: If your decision is to reject the null hypothesis, it is possible you have a type I error.
A. True
B. False
20: Reducing type II error involves increasing the likelihood of rejecting the null hypothesis.
A. True
B. False
21: What is the effect of increasing sample size on the probability of a type I error?
A. The probability of a type I error decreases with increasing sample size.
B. The probability of a type I error increases with increasing sample size.
C. It depended on whether you are using a directional or non-directional alternative hypothesis.
D. The probability of a type I error is not influenced by sample size.
22: If beta = .6 (or 60%), what is the statistical power?
A. .95 or 95%
B. .60 or 60%
C. .05 or 5%
D. .40 or 40%
23: Which of the following values for Cohen’s d would be considered a large effect size?
A. .8
B. .5
C. .15
D. .05
24: A larger amount of within-group variability will tend to ______.
A. Increase the probability of a type I error
B. Decrease the probability of a type I error
C. Increase the probability of a type II error
D. Decrease the probability of a type II error
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Errors in Hypothesis Testing, Statistical Power MCQs
