These Related-Samples t Test in Statistics multiple-choice questions and their answers will help you strengthen your grip on the subject of Related-Samples t Test in Statistics. You can prepare for an upcoming exam or job interview with these 30+ Related-Samples t Test in Statistics MCQs.

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A. They are observed in more than one group

B. They are matched

C. They are chosen randomly

D. Both a and b

A. Subtracting

B. Multiplying

C. Dividing

D. Both and c

A. True

B. False

A. Standard Error

B. Standard Difference

C. Standard score

D. Both a and b

A. Matched-Pairs Design

B. Matched-samples design

C. Matched-subjects design

D. All of these

A. Naturally

B. Experimentally

C. Hypothetically

D. Both a and b

A. Matched-Pairs Design

B. Matched-samples design

C. Matched-subjects design

D. All of these

A. Before

B. After

C. Before ,in between and after

D. Both a and b

A. Dependent Sample

B. Confounding Sample

C. Continuous Sample

D. None of these

A. True

B. False

A. Pre-Post Design

B. Within-Subjects Design

C. Between-Subjects Design

D. Both a and b

A. Between-Subjects Design

B. Within-Subjects Design

C. Pre-Post Design

D. Both a and b

A. Between-Subjects Design

B. Within-Subjects Design

C. Pre-Post Design

D. Both a and b

A. Repeated-measures design.

B. Matched-pairs design.

C. Matched-samples design.

D. Pre-post design.

A. Matching through experimental manipulation.

B. Matching through natural occurrence.

C. Independent sampling distribution.

D. Random sampling.

A. Is the mean differences observed minus the mean difference stated in a null hypothesis.

B. Is the standard deviation of the difference scores for each participant.

C. Provides an estimate of the error associated with the original scores.

D. Provides an estimate of the error associated with the difference scores.

A. Is the mean differences observed minus the mean difference stated in a null hypothesis.

B. Is the standard deviation of the difference scores for each participant.

C. Provides an estimate of the error associated with the original scores.

D. Provides an estimate of the error associated with the difference scores.

A. Compares the mean differences observed to the mean differences stated in a null hypothesis.

B. Is the standard deviation of the difference scores for each participant.

C. Provides an estimate of the error associated with the original scores.

D. Estimated standard error for difference scores.

A. The critical value increases.

B. The critical value decreases.

C. The critical value does not change.

A. Retain the null hypothesis; there is evidence for faster learning.

B. Reject the null hypothesis; there is evidence for faster learning.

C. Retain the null hypothesis; there is no evidence for faster learning.

D. Reject the null hypothesis; there is no evidence for faster learning.

A. D = 0.62 (large effect)

B. D = 1.61 (medium effect)

C. D = 0.62 (medium effect)

D. D = 1.61 (large effect)

A. D = 0.62 (large effect)

B. D = 1.61 (medium effect)

C. D = 0.62 (medium effect)

D. D = 1.61 (large effect)

A. Î·2 = 0.21

B. Î·2 = 0.23

C. Î·2 = 0.25

D. There is not enough information to answer this question

A. Standard deviation; variability

B. Sample size; power

C. Standard error; power

D. Type I error; Type II error

A. 7

B. 8

C. 9

D. 10

A. True

B. False

A. True

B. False

A. True

B. False

A. True

B. False

A. True

B. False

A. True

B. False