Question 1

In the t-test for independent samples, the actual statistical test is _______.

Accepted Answer

A) nondirectional 
B) unidirectional 
C) multidirectional 
D) quasidirectional 
A) nondirectional 
B) unidirectional 
C) multidirectional 
D) quasidirectional A

Question 2

What does the number 42 represent in the following: t₍₄₂₎ = 5.15, p < .01?

Accepted Answer

A) test statistic 
B) t value 
C) degrees of freedom 
D) significance level 
A) test statistic 
B) t value 
C) degrees of freedom 
D) significance level C

Question 3

In the effect size formula, what does s stand for?

Accepted Answer

A) standard error of mean 
B) effect size 
C) standard deviation 
D) variance 
A) standard error of mean 
B) effect size 
C) standard deviation 
D) variance C

Question 4

If the number of participants in Group 1 = 32 and the number in Group 2 = 30, what is the associated degrees of freedom?

Accepted Answer

A) 58 
B) 59 
C) 60 
D) 62 
A) 58 
B) 59 
C) 60 
D) 62

Question 5

If your obtained t value is 7.14, and the critical value is 6.10, what decision should you make?

Accepted Answer

A) accept the null hypothesis 
B) reject the null hypothesis 
C) rerun the analysis 
D) use a one-tailed test 
A) accept the null hypothesis 
B) reject the null hypothesis 
C) rerun the analysis 
D) use a one-tailed test

Question 6

If you have a sample size of 500, should you interpret the statistical significance or the effect size?

Accepted Answer

With a small sample size, you could inte

Question 7

In the formula that computes a t value, what does n₁ represent?

Accepted Answer

A) scores for Group 1 
B) means for Group 1 
C) number of participants for Group 1 
D) variance for Group 1 
A) scores for Group 1 
B) means for Group 1 
C) number of participants for Group 1 
D) variance for Group 1

Question 8

The t-test for independent means is used when there is/are _______.

Accepted Answer

A) only two groups in total 
B) only one group 
C) two groups or more 
D) one group or more 
A) only two groups in total 
B) only one group 
C) two groups or more 
D) one group or more

Question 9

Under what circumstances would a researcher reject the null hypothesis?

Accepted Answer

The null hypothesis

Question 10

The t-test for independent samples assumes which of the following?

Accepted Answer

A) There was a pre- and posttest. 
B) Scores are independent. 
C) Scores are related. 
D) Mean scores are equal. 
A) There was a pre- and posttest. 
B) Scores are independent. 
C) Scores are related. 
D) Mean scores are equal.

Question 11

If the obtained value is greater than the critical value, what should you do?

Accepted Answer

A) reject the null hypothesis 
B) accept the null hypothesis 
C) set a higher p value 
D) increase the sample 
A) reject the null hypothesis 
B) accept the null hypothesis 
C) set a higher p value 
D) increase the sample

Question 12

Why do we calculate effect size?

Accepted Answer

We calculate effect size to de

Question 13

What is the formula used to calculate degrees of freedom for a t-test?

Accepted Answer

A) n₁ − 1 + n₂ − 1 
B) n₁ + n₂ − 1 
C) n₁ − 1 + n₂ 
D) n₁ + n₂ 
A) n₁ − 1 + n₂ − 1 
B) n₁ + n₂ − 1 
C) n₁ − 1 + n₂ 
D) n₁ + n₂

Question 14

The sign of the observed t value (i.e., whether it is positive or negative) is a crucial element in conducting the t-test for independent samples.

Accepted Answer

A) True 
 B)False

Question 15

If the number of participants in Group 1 = 54 and the number in Group 2 = 58, what is the associated degrees of freedom?

Accepted Answer

A) 99 
B) 111 
C) 112 
D) 110 
A) 99 
B) 111 
C) 112 
D) 110

Question 16

Effect size is the magnitude of the differences between groups.

Accepted Answer

A) True 
 B)False

Question 17

In the formula that computes a t value, what does represent?

Accepted Answer

A) scores for Group 1 
B) mean for Group 1 
C) number of participants for Group 1 
D) variance for Group 1 
A) scores for Group 1 
B) mean for Group 1 
C) number of participants for Group 1 
D) variance for Group 1

Question 18

When computing effect size, the sample size is ______.

Accepted Answer

A) used in the denominator 
B) not taken into account 
C) used in the numerator 
D) sometimes taken into account 
A) used in the denominator 
B) not taken into account 
C) used in the numerator 
D) sometimes taken into account

Question 19

What is considered to be a small effect for Cohen's d?

Accepted Answer

A) .17 
B) −.02 
C) .25 
D) .57 
A) .17 
B) −.02 
C) .25 
D) .57

Question 20

Based on the equation: t₍₄₂₎ = 5.15, p < .01, what is right choice in the following?

Accepted Answer

A) group 1= 21; group 2= 21 
B) group 1= 22; group 2= 22 
C) group 1= 20; group 2= 20 
D) group 1=23; group 2= 23 
A) group 1= 21; group 2= 21 
B) group 1= 22; group 2= 22 
C) group 1= 20; group 2= 20 
D) group 1=23; group 2= 23

Exam 11: Tea for Two: Tests Between the Means of Different Groups

In the t-test for independent samples, the actual statistical test is _______.

What does the number 42 represent in the following: t₍₄₂₎ = 5.15, p < .01?

In the effect size formula, what does s stand for?

If the number of participants in Group 1 = 32 and the number in Group 2 = 30, what is the associated degrees of freedom?

If your obtained t value is 7.14, and the critical value is 6.10, what decision should you make?

If you have a sample size of 500, should you interpret the statistical significance or the effect size?

In the formula that computes a t value, what does n₁ represent?

The t-test for independent means is used when there is/are _______.

Under what circumstances would a researcher reject the null hypothesis?

The t-test for independent samples assumes which of the following?

If the obtained value is greater than the critical value, what should you do?

Why do we calculate effect size?

What is the formula used to calculate degrees of freedom for a t-test?

The sign of the observed t value (i.e., whether it is positive or negative) is a crucial element in conducting the t-test for independent samples.

If the number of participants in Group 1 = 54 and the number in Group 2 = 58, what is the associated degrees of freedom?

Effect size is the magnitude of the differences between groups.

In the formula that computes a t value, what does represent?

When computing effect size, the sample size is ______.

What is considered to be a small effect for Cohen's d?

Based on the equation: t₍₄₂₎ = 5.15, p < .01, what is right choice in the following?

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