Question 1

Supposed you used a 10-point rating scale to measure intention-to-buy (1 = definitely would not buy and 10 = definitely would buy). If a group of 40 males had a mean of 7 and a standard deviation of 2.5, while a group of 35 females had a mean of 5 and a standard deviation of 1.4, the standard error of the difference between the means would be approximately _____.

Accepted Answer

A)  0.48 
B)  1.36 
C)  2.45 
D)  not enough information to determine

Question 2

All of the following are forms of variance considered in an F-test EXCEPT _____.

Accepted Answer

A)  SSE 
B)  SSB 
C)  SSR 
D)  SST

Question 3

The ______ test studies the significance of a contingency table.

Accepted Answer

The answer of The ______ test studies the significance of...

Question 4

Explain what a Z-test for comparing two proportions is and the appropriate hypothesis.

Accepted Answer

The answer of Explain what a Z-test for comparing two...

Question 5

The degrees of freedom are calculated as d.f. = n - 1 when using the t-test for comparing two means.

Accepted Answer

A) True 
 B)False

Question 6

To use the chi-square test, both variables in a 2 x 2 contingency table must be measured on a ratio scale.

Accepted Answer

A) True 
 B)False

Question 7

Which should be used when comparing the means of three groups to see if they are significantly different from one another?

Accepted Answer

A)  One-group t-test 
B)  ANOVA 
C)  Three-group t-test 
D)  Chi-square test

Question 8

Explain what an independent samples t-test is and the null hypothesis examine.

Accepted Answer

The answer of Explain what an independent samples t-test is...

Question 9

A Z-test for differences of proportions requires a sample size greater than 100.

Accepted Answer

A) True 
 B)False

Question 10

The first basic step in interpreting t-test results is to find the p-value associated with a particular t and the corresponding degrees of freedom.

Accepted Answer

A) True 
 B)False

Question 11

The sum of differences between the group mean and the grand mean summed over all groups for a given set of observations is called _____ variance.

Accepted Answer

The answer of The sum of differences between the group...

Question 12

A pooled estimate of the standard error is a better estimate of the standard error than one based on the variance from either sample.

Accepted Answer

A) True 
 B)False

Question 13

The null hypothesis for an ANOVA test comparing the means of three groups is: m1 ¹ m2 ¹ m3.

Accepted Answer

A) True 
 B)False

Question 14

Tests are bivariate tests of differences when they involve only two variables: a variable that acts like a dependent variable and a variable that acts as a classification variable.

Accepted Answer

A) True 
 B)False

Question 15

The _____ for differences of proportions is a technique used to test the hypothesis that proportions are significantly different for two independent samples or groups.

Accepted Answer

The answer of The _____ for differences of proportions is...

Question 16

List the practical steps for interpreting t-test results.

Accepted Answer

The answer of List the practical steps for interpreting t-test...

Question 17

What is ANOVA and when is it the appropriate statistical technique? What test is used to determine significance? Give an example of a research question that can be analyzed using ANOVA.

Accepted Answer

The answer of What is ANOVA and when is it...

Question 18

Which of the following is a requirement for using the Z-test for differences of proportions?

Accepted Answer

A)  common sample 
B)  degrees of freedom of at least 50 
C)  sample size greater than 30 
D)  ratio measurement of all variables

Question 19

_____ is the appropriate statistical tool to use when comparing the means of three or more groups to see if they are significantly different from one another.

Accepted Answer

The answer of _____ is the appropriate statistical tool to...

Question 20

The t-test assumes that the two population means are equal.

Accepted Answer

A) True 
 B)False

Exam 22: Bivariate Statistical Analysis: Differences Between Two Variables

All of the following are forms of variance considered in an F-test EXCEPT _____.

The ______ test studies the significance of a contingency table.

Explain what a Z-test for comparing two proportions is and the appropriate hypothesis.

The degrees of freedom are calculated as d.f. = n - 1 when using the t-test for comparing two means.

To use the chi-square test, both variables in a 2 x 2 contingency table must be measured on a ratio scale.

Which should be used when comparing the means of three groups to see if they are significantly different from one another?

Explain what an independent samples t-test is and the null hypothesis examine.

A Z-test for differences of proportions requires a sample size greater than 100.

The first basic step in interpreting t-test results is to find the p-value associated with a particular t and the corresponding degrees of freedom.

The sum of differences between the group mean and the grand mean summed over all groups for a given set of observations is called _____ variance.

A pooled estimate of the standard error is a better estimate of the standard error than one based on the variance from either sample.

The null hypothesis for an ANOVA test comparing the means of three groups is: m₁_¹m₂_¹m_3.

Tests are bivariate tests of differences when they involve only two variables: a variable that acts like a dependent variable and a variable that acts as a classification variable.

The _____ for differences of proportions is a technique used to test the hypothesis that proportions are significantly different for two independent samples or groups.

List the practical steps for interpreting t-test results.

What is ANOVA and when is it the appropriate statistical technique? What test is used to determine significance? Give an example of a research question that can be analyzed using ANOVA.

Which of the following is a requirement for using the Z-test for differences of proportions?

_____ is the appropriate statistical tool to use when comparing the means of three or more groups to see if they are significantly different from one another.

The t-test assumes that the two population means are equal.