Question 1

The term for the assumption that the amount of variability in each of the two groups is equal is ______.

Accepted Answer

A) heterogeneity of variances 
B) homogeneity of variance 
C) equality of variance 
D) stability of variance 
A) heterogeneity of variances 
B) homogeneity of variance 
C) equality of variance 
D) stability of variance B

Question 2

A larger effect size represents a greater difference between the two groups.

Accepted Answer

A) True 
 B)False  True

Question 3

A researcher wants to create an intervention to improve the well-being of first-semester graduate students,so she gives the professional school counseling students specific doses of rocky road ice cream and the mental health counseling students specific doses of licorice.To analyze the differences in well-being,she would use a(n)______.

Accepted Answer

A) dependent-samples t test 
B) analysis of variance 
C) independent-samples t test 
D) repeated-measures analysis of variance 
A) dependent-samples t test 
B) analysis of variance 
C) independent-samples t test 
D) repeated-measures analysis of variance C

Question 4

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 5

If there is a significant difference between the distributions of scores in two groups with effect size at .37,how big are the differences between the two groups?

Accepted Answer

A) no difference 
B) medium 
C) small 
D) large 
A) no difference 
B) medium 
C) small 
D) large

Question 6

In the formula that computes a t value,what does s12 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 7

When computing effect size,the sample size is ______.

Accepted Answer

A) used in the denominator 
B) not considered 
C) used in the numerator 
D) sometimes considered 
A) used in the denominator 
B) not considered 
C) used in the numerator 
D) sometimes considered

Question 8

If the effect size is 0.37,what is your interpretation of the group difference?

Accepted Answer

A) large 
B) small 
C) weak 
D) medium 
A) large 
B) small 
C) weak 
D) medium

Question 9

The research hypothesis in an independent-samples t-test would be represented as follows:

Accepted Answer

A) H0: X1 = X2 
B) H1:$\mu$1=$\mu$2 
C) H1:   1 >   2 
D)  H0: $\mu$1=$\mu$2 
A) H0: X1 = X2 
B) H1:$\mu$1=$\mu$2 
C) H1:   1 >   2 
D)  H0: $\mu$1=$\mu$2

Question 10

The t test for independent means is used when looking at the difference in average scores of one or more variables between ______ group(s)that are ______ one another.

Accepted Answer

A) two;dependent on 
B) two;independent of 
C) one;dependent on 
D) one;independent of 
A) two;dependent on 
B) two;independent of 
C) one;dependent on 
D) one;independent of

Question 11

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

Accepted Answer

A) the number of participants in Group 1 
B) the variance for Group 1 
C) the mean for Group 1 
D) the standard deviation for Group 1 
A) the number of participants in Group 1 
B) the variance for Group 1 
C) the mean for Group 1 
D) the standard deviation for Group 1

Question 12

The homogeneity-of-variance,an assumption underlying the t test,states that the amount of variability in both groups is equal.

Accepted Answer

A) True 
 B)False

Question 13

What does the number 0.01 represent in the following: t(42)= 5.15,p < 0.01?

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

Question 14

Effect size is the magnitude of the differences between groups.

Accepted Answer

A) True 
 B)False

Question 15

A researcher wants to study the impact of pizza consumption on the happiness of college freshmen,sophomores,and juniors.What test statistic would the researcher need to use to evaluate the difference in effectiveness between the groups?

Accepted Answer

A) dependent-samples t-test 
B) analysis of variance 
C) independent-samples t-test 
D) repeated-measures analysis of variance 
A) dependent-samples t-test 
B) analysis of variance 
C) independent-samples t-test 
D) repeated-measures analysis of variance

Question 16

When it comes to significance testing,the level of risk is ______.

Accepted Answer

A) determined by sample size 
B) always set at 0.05 
C) set by the researcher 
D) irrelevant for t-test 
A) determined by sample size 
B) always set at 0.05 
C) set by the researcher 
D) irrelevant for t-test

Question 17

If the obtained value is less 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 18

When examining group difference where the direction of the difference is specified,which of the following is used?

Accepted Answer

A) two-tailed test 
B) one-tailed test 
C) directional hypothesis 
D) critical value 
A) two-tailed test 
B) one-tailed test 
C) directional hypothesis 
D) critical value

Question 19

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 inter

Question 20

How many groups are involved in the t test for independent samples?

Accepted Answer

A) one 
B) two 
C) more than three 
D) any number of groups 
A) one 
B) two 
C) more than three 
D) any number of groups

The term for the assumption that the amount of variability in each of the two groups is equal is ______.

A larger effect size represents a greater difference between the two groups.

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

If there is a significant difference between the distributions of scores in two groups with effect size at .37,how big are the differences between the two groups?

In the formula that computes a t value,what does s₁² represent?

When computing effect size,the sample size is ______.

If the effect size is 0.37,what is your interpretation of the group difference?

The research hypothesis in an independent-samples t-test would be represented as follows:

The t test for independent means is used when looking at the difference in average scores of one or more variables between group(s)that are one another.

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

The homogeneity-of-variance,an assumption underlying the t test,states that the amount of variability in both groups is equal.

What does the number 0.01 represent in the following: t₍₄₂₎= 5.15,p < 0.01?

Effect size is the magnitude of the differences between groups.

A researcher wants to study the impact of pizza consumption on the happiness of college freshmen,sophomores,and juniors.What test statistic would the researcher need to use to evaluate the difference in effectiveness between the groups?

When it comes to significance testing,the level of risk is ______.

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

When examining group difference where the direction of the difference is specified,which of the following is used?

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

How many groups are involved in the t test for independent samples?

Statistics or Sadistics Its up to You

Means to an End: Computing and Understanding Averages

Understanding Variability: Vive La Différence

A Picture Really Is Worth a Thousand Words

Computing Correlation Coefficients: Ice Cream and Crime

Understanding Reliability and Validity: Just the Truth

Hypotheticals and You: Testing Your Questions

Probability and Why It Counts: Fun With a Bell-Shaped Curve

Significantly Significant: What It Means for You and Me

Only the Lonely: the One Sample Z-Test

Teafor Two Again: Tests Between the Means of Related Groups

Two Groups Too Many Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction

Testing Relationships Using the Correlation Coefficients: Cousins or Just Good Friends

Using Linear Regression: Predicting Wholl Win the Super Bowl

Chi-Square and Some Other Nonparametric Tests: What to Do When Youre Not Normal

Some Other Importantstatistical Procedures You Should Know About

An Introduction to Data Mining

Filters

Exam 11: Teafor Two: Tests Between the Means of Different Groups

The term for the assumption that the amount of variability in each of the two groups is equal is ______.

A larger effect size represents a greater difference between the two groups.

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

If there is a significant difference between the distributions of scores in two groups with effect size at .37,how big are the differences between the two groups?

In the formula that computes a t value,what does s12 represent?

When computing effect size,the sample size is ______.

If the effect size is 0.37,what is your interpretation of the group difference?

The research hypothesis in an independent-samples t-test would be represented as follows:

The t test for independent means is used when looking at the difference in average scores of one or more variables between ______ group(s)that are ______ one another.

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

The homogeneity-of-variance,an assumption underlying the t test,states that the amount of variability in both groups is equal.

What does the number 0.01 represent in the following: t(42)= 5.15,p < 0.01?

Effect size is the magnitude of the differences between groups.

A researcher wants to study the impact of pizza consumption on the happiness of college freshmen,sophomores,and juniors.What test statistic would the researcher need to use to evaluate the difference in effectiveness between the groups?

When it comes to significance testing,the level of risk is ______.

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

When examining group difference where the direction of the difference is specified,which of the following is used?

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

How many groups are involved in the t test for independent samples?

Statistics or Sadistics Its up to You

Means to an End: Computing and Understanding Averages

Understanding Variability: Vive La Différence

A Picture Really Is Worth a Thousand Words

Computing Correlation Coefficients: Ice Cream and Crime

Understanding Reliability and Validity: Just the Truth

Hypotheticals and You: Testing Your Questions

Probability and Why It Counts: Fun With a Bell-Shaped Curve

Significantly Significant: What It Means for You and Me

Only the Lonely: the One Sample Z-Test

Teafor Two Again: Tests Between the Means of Related Groups

Two Groups Too Many Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction

Testing Relationships Using the Correlation Coefficients: Cousins or Just Good Friends

Using Linear Regression: Predicting Wholl Win the Super Bowl

Chi-Square and Some Other Nonparametric Tests: What to Do When Youre Not Normal

Some Other Importantstatistical Procedures You Should Know About

An Introduction to Data Mining

Filters

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

In the formula that computes a t value,what does s₁² represent?

The t test for independent means is used when looking at the difference in average scores of one or more variables between group(s)that are one another.

What does the number 0.01 represent in the following: t₍₄₂₎= 5.15,p < 0.01?