T Test for Dependent Groups MCQs

T Test for Dependent Groups MCQs

Answer these  T Test for Dependent Groups MCQs and assess your grip on the subject of T Test for Dependent Groups.
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1: Dependent t Test is a test designed to determine the statistical difference between two means where the participants in each group are_____

A.   Same persons

B.   Closely matched pair

C.   Different persons

D.   Both a and b

A.   True

B.   False

3: What happens in the absence of order of presentation?

A.   The participants may become fatigued or bored

B.   Do more poorly in the later conditions

C.   Perform well in the later conditions

D.   Both a and b

4: According to regression effect people who first measure at the extreme end on a variable tend to have _____ scores later.

A.   Higher

B.   Lower

C.   More moderate

D.   All of these

5: Repeated measures t Test is used in_____design.

A.   Pretreatment

B.   Posttreatment

C.   Both

D.   None

6: The T-Test for Dependent Groups is also known as:

A.   Paired samples t-test (Correct)

B.   Independent samples t-test

C.   One-way ANOVA

D.   Two-way ANOVA

7: The T-Test for Dependent Groups is used to compare means of:

A.   Two independent groups

B.   Two dependent groups (Correct)

C.   Multiple independent groups

D.   Multiple dependent groups

8: What is the assumption of the T-Test for Dependent Groups regarding the data?

A.   The data must be normally distributed in each group

B.   The data must have equal variances in each group

C.   The data must be measured on an ordinal scale

D.   The data must be paired or matched (Correct)

9: In the context of the T-Test for Dependent Groups, what does "dependent" mean?

A.   The groups are interrelated and influence each other's scores (Correct)

B.   The groups are independent of each other

C.   The groups are matched based on a common characteristic

D.   The groups are randomly assigned to different conditions

10: What is the null hypothesis (H0) for the T-Test for Dependent Groups?

A.   There is a significant difference between the means of the two groups

B.   There is no significant difference between the means of the two groups

C.   The two groups are independent of each other

D.   The dependent variable is normally distributed (Correct)

11: The formula for calculating the t-statistic in the T-Test for Dependent Groups involves:

A.   The difference between the sample means and the standard error of the difference (Correct)

B.   The difference between the sample means and the standard deviation of the difference

C.   The ratio of the sample means and the pooled standard error

D.   The ratio of the sample means and the pooled standard deviation

12: In the T-Test for Dependent Groups, if the calculated t-value is greater than the critical t-value, what can we conclude?

A.   We reject the null hypothesis and conclude that there is a significant difference between the means of the two groups (Correct)

B.   We fail to reject the null hypothesis and conclude that there is no significant difference between the means of the two groups

C.   We cannot draw any conclusion based on the t-value alone

D.   The t-value is always equal to the critical t-value

13: A researcher conducts a study to examine the effectiveness of a new teaching method. Each student's performance is measured before and after the intervention. Which t-test is appropriate for this study?

A.   Independent samples t-test

B.   One-sample t-test

C.   Paired samples t-test (Correct)

D.   Welch's t-test

14: When conducting a T-Test for Dependent Groups, a researcher would typically use a two-tailed test if:

A.   They have a specific direction for the expected difference

B.   The sample size is small

C.   They are uncertain about the direction of the expected difference (Correct)

D.   The sample means are equal

15: If the p-value obtained from a T-Test for Dependent Groups is less than the significance level (e.g., α = 0.05), what does it indicate?

A.   There is a significant difference between the means of the two groups (Correct)

B.   The data are not normally distributed

C.   The two groups are independent of each other

D.   The test is inconclusive, and further analysis is needed