Statistical Tests Between the Means of Different Groups MCQs
Statistical Tests Between the Means of Different Groups MCQs
The following Statistical Tests Between the Means of Different Groups MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Statistical Tests Between the Means of Different Groups. We encourage you to answer these multiple-choice questions to assess your proficiency.
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1: If an independent-groups t-test has 13 subjects in each group, then the degrees of freedom are _____.
A. 26
B. 24
C. 13
D. 12
2: For an independent-groups t-test, the value of Cohen’s d describes _____.
A. The size of the treatment effect
B. The chance of a Type I error
C. The chance of a Type II error
D. The overall chance level in the experiment
3: Degrees of freedom (df) for the one-sample t-test is equal to _____.
A. Df - 1
B. N - 1
C. N
D. N + 1
4: If the null hypothesis is TRUE, then the t-test should be close to _____.
A. 0.00.
B. ±1.65.
C. ±1.96.
D. ±3.00.
5: In an independent groups t-test, we divide by _____.
A. The standard error of the mean
B. The estimated standard error of the mean
C. The standard deviation
D. The standard error of the difference between means
6: If, after calculating an independent-groups t-test you find that it is equal to zero, then _____.
A. The two-sample means differ significantly
B. The two-sample means do not differ significantly
C. You have done something wrong
D. The two population means differ significantly
7: For an independent-groups t-test, effect size can be measured using _____.
A. Cohen’s d
B. The standard error of the difference between means
C. R2
D. Either Cohen’s d or r2
8: In order to compute the t value, you must approximate the sample size by calculating the ______..
A. Pooled variance
B. Degrees of freedom
C. Critical value
D. Directional hypothesis
9: What happens to the t-distribution as the sample size increases?
A. The t-distribution appears less and less like a normal distribution.
B. The t-distribution appears more and more like a normal distribution.
C. The shape of the t-distribution is unaffected.
D. Becomes nearer to the true value of µ
10: T(14) = 3.35, one-tailed. Based on these results we ______.
A. Reject Ho
B. Fail to reject Ho
C. Accept Ho
D. Reject Ha
11: As sample variance ______, the value of the t-test ______.
A. Increases; increases
B. Decreases; decreases
C. Increases; decreases
D. Increases; stays the same
12: An independent-groups t-test _____.
A. Compares sample means for two related groups
B. Compares sample means for two unrelated groups
C. Compares standard deviations for two unrelated groups
D. Compares sample means for three or more unrelated groups
13: If the null hypothesis is NOT supported, then the t-test should be _____.
A. 0.00.
B. ±1.00.
C. Greater than ±1.00.
D. A negative number
14: Which of the following t-test results has the greatest chance of statistical significance?
A. T(28) = 1.70
B. T(14) = 1.70
C. T(18) = 1.70
D. T(10) = 1.70
15: Degrees of freedom is value which is different for different _____ tests, that approximates the sample size of number of individual cells in an experimental design.
A. Statistics
B. Physical
C. Chemical
D. Maths
Statistical Tests Between the Means of Different Groups MCQs
