Related-Samples t Test in Statistics MCQs

Related-Samples t Test in Statistics MCQs

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

2: Difference Score is a score or value obtained by _____ one score by another.

A.   Subtracting

B.   Multiplying

C.   Dividing

D.   Both and c

3: Refers to any unexplained difference that cannot be attributed to, or caused by, having different treatments.

A.   True

B.   False

4: Estimated Standard Error for Difference Scores is an estimate of the _____ that the mean difference scores deviate from the mean difference score stated in the null hypothesis.

A.   Standard Error

B.   Standard Difference

C.   Standard score

D.   Both a and b

5: A research design in which pairs of participants are selected and then matched, either experimentally or naturally, based on common characteristics or traits is known as_____

A.   Matched-Pairs Design

B.   Matched-samples design

C.   Matched-subjects design

D.   All of these

6: Matched-Samples Design is a research design in which pairs of participants are selected and then matched _____ , based on common characteristics or traits.

A.   Naturally

B.   Experimentally

C.   Hypothetically

D.   Both a and b

7: A research design in which pairs of participants are selected and then matched, either experimentally or naturally, based on common characteristics or traits is known as_____

A.   Matched-Pairs Design

B.   Matched-samples design

C.   Matched-subjects design

D.   All of these

8: Pre-Post Design is a type of repeated-measures design in which researchers measure a dependent variable for participants _____ a treatment.

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

11: The type of repeated-measures designs includes_____

A.   Pre-Post Design

B.   Within-Subjects Design

C.   Between-Subjects Design

D.   Both a and b

12: A type of repeated-measures design in which researchers observe the same participants across many treatments but not necessarily before and after a treatment is known as_____

A.   Between-Subjects Design

B.   Within-Subjects Design

C.   Pre-Post Design

D.   Both a and b

13: A type of repeated-measures design in which researchers observe the same participants across many treatments but not necessarily before and after a treatment is known as_____

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.

15: A researcher surveys the studying habits of students in his class and then matches them based on this survey, so he could study the effectiveness of group work. This procedure is called:

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.

20: Early experiments in learning showed that rats learned a maze quickly when rewarde A researcher records the time taken for rats to learn a route in the presence and absence of foo If the researcher tested the hypothesis that presence of food would produce faster learning, at a .05 level of significance (two-tailed test), then what is her decision if she computes t = 2.842 in a sample of eight rats?

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.

21: A professor computes the mean difference in aggressive responses from participants before and after watching a video showing violence as 9.0 ± 14.5 (MD ± SD), and this difference is significant. What is the effect size for this result using estimated Cohen’s d?

A.   D = 0.62 (large effect)

B.   D = 1.61 (medium effect)

C.   D = 0.62 (medium effect)

D.   D = 1.61 (large effect)

22: A professor computes the mean difference in aggressive responses from participants before and after watching a video showing violence as 9.0 ± 14.5 (MD ± SD), and this difference is significant. What is the effect size for this result using estimated Cohen’s d?

A.   D = 0.62 (large effect)

B.   D = 1.61 (medium effect)

C.   D = 0.62 (medium effect)

D.   D = 1.61 (large effect)

23: A researcher selects a sample of 36 children for a memory task. The researcher finds that children remembered more pictures than words, t = 3.243. Use eta-squared to compute the proportion of variance for this result.

A.   η2 = 0.21

B.   η2 = 0.23

C.   η2 = 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

26: An example of matching by natural occurrence would be if we matched participants based on their gender (male, female).

A.   True

B.   False

27: An example of matching by natural occurrence would be if we matched participants based on their gender (male, female).

A.   True

B.   False

28: The repeated-measures design is associated with greater power to detect an effect compared with the independent-samples design.

A.   True

B.   False

29: The repeated-measures design is associated with greater power to detect an effect compared with the independent-samples design.

A.   True

B.   False

A.   True

B.   False

A.   True

B.   False