Question 1

A popular approach to measuring the strength of the relationship between two categorical variables is

Accepted Answer

A)  cross tabulation. 
B)  Pearson chi-square test of independence. 
C)  Cramer's V. 
D)  regression analysis. 
E)  Kendall's coefficient of concordance. 
A)  cross tabulation. 
B)  Pearson chi-square test of independence. 
C)  Cramer's V. 
D)  regression analysis. 
E)  Kendall's coefficient of concordance. C

Question 2

Cross tabulation work equally well with continuous measures that have been recast as categorical measures.

Accepted Answer

A) True 
 B)False  True

Question 3

In a regression analysis, determining the statistical significance of the slope involves the use of the t-statistic.

Accepted Answer

A) True 
 B)False  True

Question 4

A simple regression is a statistical technique used to derive an equation that relates a single continuous dependent variable to two or more independent variables.

Accepted Answer

A) True 
 B)False

Question 5

Multiple regression analysis is useful when there are______________independent variable(s) and______________dependent variable(s).

Accepted Answer

A)  more than one, one 
B)  one, more than one 
C)  more than one, more than one 
D)  one, one 
E)  None of the above. 
A)  more than one, one 
B)  one, more than one 
C)  more than one, more than one 
D)  one, one 
E)  None of the above.

Question 6

When a computed z-value (for a test for differences between two percentages), say 4.51, is larger than the standard z-value, say 1.96, then this amounts to

Accepted Answer

A)  support for the null hypothesis; the two percentages are different. 
B)  no support for the null hypothesis; the two percentages are not different. 
C)  support for the null hypothesis; the two percentages is not different. 
D)  no support for the null hypothesis; the two percentages are different. 
E)  None of the above. 
A)  support for the null hypothesis; the two percentages are different. 
B)  no support for the null hypothesis; the two percentages are not different. 
C)  support for the null hypothesis; the two percentages is not different. 
D)  no support for the null hypothesis; the two percentages are different. 
E)  None of the above.

Question 7

Which of the following is FALSE about cross tabulations?

Accepted Answer

A)  Cross tabulations work equally well with continuous measures that have been recast as categorical measures. 
B)  Cross tabulations are used for studying the relationships between two (or more) categorical variables. 
C)  Recasting continuous measures into categories may result in lowered statistical power. 
D)  Cross tabulation seeks to investigate the influence of the independent variable on the dependent variable. 
E)  Recasting continuous measures into categories almost never results in the loss of information. 
A)  Cross tabulations work equally well with continuous measures that have been recast as categorical measures. 
B)  Cross tabulations are used for studying the relationships between two (or more) categorical variables. 
C)  Recasting continuous measures into categories may result in lowered statistical power. 
D)  Cross tabulation seeks to investigate the influence of the independent variable on the dependent variable. 
E)  Recasting continuous measures into categories almost never results in the loss of information.

Question 8

While the chi-square test indicates whether two variables are independent, it doesn't measure the
____________________ when they are dependent.

Accepted Answer

strength o

Question 9

Refer to Scenario 18.3. The above table is an example of

Accepted Answer

A)  one-way classification. 
B)  cross tabulation. 
C)  one-way tabulation. 
D)  four-way classification. 
E)  three-way cross tabulation. 
A)  one-way classification. 
B)  cross tabulation. 
C)  one-way tabulation. 
D)  four-way classification. 
E)  three-way cross tabulation.

Question 10

What conclusion(s) can you make from the following cross tabulation?

Accepted Answer

A)  Having more children increases the divorce rate. 
B)  Getting divorced makes a couple have more children. 
C)  The more children a person has the more likely s/he is to be divorced. 
D)  All of the above can be correctly concluded from the cross-tabulation. 
E)  None of the above can be concluded from the cross-tabulation. 
A)  Having more children increases the divorce rate. 
B)  Getting divorced makes a couple have more children. 
C)  The more children a person has the more likely s/he is to be divorced. 
D)  All of the above can be correctly concluded from the cross-tabulation. 
E)  None of the above can be concluded from the cross-tabulation.

Question 11

Regression coefficients represent the______________in the outcome variable per unit change in the associated predictor variable, holding all other predictor variables constant.

Accepted Answer

The answer of Regression coefficients represent the______________in the outcome variable...

Question 12

In ANOVA, a______________allows a researcher to examine simultaneously the effects of two or more independent variables.

Accepted Answer

A)  cross tabulation 
B)  scatter diagram 
C)  correlation coefficient 
D)  factorial design 
E)  coefficient of determination 
A)  cross tabulation 
B)  scatter diagram 
C)  correlation coefficient 
D)  factorial design 
E)  coefficient of determination

Question 13

Regression is a robust analytical tool that can also be used when one or more______________variables are categorical as opposed to continuous variables.

Accepted Answer

The answer of Regression is a robust analytical tool that...

Question 14

Which of the following emphasizes the division of the sample into subgroups so as to learn how the dependent variable varies from subgroup to subgroup?

Accepted Answer

A)  Longitudinal analysis 
B)  Coding 
C)  Cross-sectional analysis 
D)  Cross tabulation 
E)  One-way tabulation 
A)  Longitudinal analysis 
B)  Coding 
C)  Cross-sectional analysis 
D)  Cross tabulation 
E)  One-way tabulation

Question 15

Assuming the two predictors X1 and X2 are not correlated, the coefficients of partial regression can be interpreted as the

Accepted Answer

A)  unit change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant. 
B)  change in the criterion variable associated with an average change in the predictor variables. 
C)  average change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant. 
D)  average change in the criterion variable associated with a unit change in the appropriate predictor variable while holding the other predictor variable constant. 
E)  average change in the criterion variable associated with a unit change in the appropriate predictor variable. 
A)  unit change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant. 
B)  change in the criterion variable associated with an average change in the predictor variables. 
C)  average change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant. 
D)  average change in the criterion variable associated with a unit change in the appropriate predictor variable while holding the other predictor variable constant. 
E)  average change in the criterion variable associated with a unit change in the appropriate predictor variable.

Question 16

Refer to Scenario 18.2. What will average sales be equal to when 10 salespeople are used?

Accepted Answer

A)  $358,000 
B)  $463.20 
C)  $358.00 
D)  $463,200 
E)  More information is needed to answer this question. 
A)  $358,000 
B)  $463.20 
C)  $358.00 
D)  $463,200 
E)  More information is needed to answer this question.

Question 17

Which of the following concerning the Pearson chi-square test is FALSE?

Accepted Answer

A)  The Pearson chi-square test is conceptually similar to the chi-square goodness-of-fit test. 
B)  The Pearson chi-square test tests the null hypothesis that the variables are independent. 
C)  The Pearson chi-square test measures the degree of association between variables. 
D)  The Pearson chi-square test assesses the degree to which the two variables in a cross tabulation analysis are independent of one another. 
E)  All of the above statements concerning the Pearson chi-square test are true. 
A)  The Pearson chi-square test is conceptually similar to the chi-square goodness-of-fit test. 
B)  The Pearson chi-square test tests the null hypothesis that the variables are independent. 
C)  The Pearson chi-square test measures the degree of association between variables. 
D)  The Pearson chi-square test assesses the degree to which the two variables in a cross tabulation analysis are independent of one another. 
E)  All of the above statements concerning the Pearson chi-square test are true.

Question 18

All other variables held constant, a 95% confidence interval will give us a narrower range than will a 99% confidence interval.

Accepted Answer

A) True 
 B)False

Question 19

Refer to Scenario 18.1. Assuming that the standard error of estimate for the difference in means is 1.5, calculate the value of the test statistic that would be used in the comparison of the two means.

Accepted Answer

A)  0.75 
B)  1.33 
C)  1.88 
D)  1.96 
E)  None of the above. 
A)  0.75 
B)  1.33 
C)  1.88 
D)  1.96 
E)  None of the above.

Question 20

Let's assume we find in a study that the Pearson's correlation coefficient between number of years of education and cigarette smoking is -0.73. This means that as education level increases

Accepted Answer

A)  smoking tends to increase. 
B)  smoking tends to decrease. 
C)  smoking changes 73%. 
D)  Education and smoking are unrelated. 
E)  An educated person smokes 73 cigarettes a day. 
A)  smoking tends to increase. 
B)  smoking tends to decrease. 
C)  smoking changes 73%. 
D)  Education and smoking are unrelated. 
E)  An educated person smokes 73 cigarettes a day.

A popular approach to measuring the strength of the relationship between two categorical variables is

Cross tabulation work equally well with continuous measures that have been recast as categorical measures.

In a regression analysis, determining the statistical significance of the slope involves the use of the t-statistic.

A simple regression is a statistical technique used to derive an equation that relates a single continuous dependent variable to two or more independent variables.

Multiple regression analysis is useful when there areindependent variable(s) anddependent variable(s).

When a computed z-value (for a test for differences between two percentages), say 4.51, is larger than the standard z-value, say 1.96, then this amounts to

Which of the following is FALSE about cross tabulations?

While the chi-square test indicates whether two variables are independent, it doesn't measure the ____________________ when they are dependent.

Refer to Scenario 18.3. The above table is an example of

What conclusion(s) can you make from the following cross tabulation?

Regression coefficients represent the______________in the outcome variable per unit change in the associated predictor variable, holding all other predictor variables constant.

In ANOVA, a______________allows a researcher to examine simultaneously the effects of two or more independent variables.

Regression is a robust analytical tool that can also be used when one or more______________variables are categorical as opposed to continuous variables.

Which of the following emphasizes the division of the sample into subgroups so as to learn how the dependent variable varies from subgroup to subgroup?

Assuming the two predictors X₁and X₂are not correlated, the coefficients of partial regression can be interpreted as the

Refer to Scenario 18.2. What will average sales be equal to when 10 salespeople are used?

Which of the following concerning the Pearson chi-square test is FALSE?

All other variables held constant, a 95% confidence interval will give us a narrower range than will a 99% confidence interval.

Refer to Scenario 18.1. Assuming that the standard error of estimate for the difference in means is 1.5, calculate the value of the test statistic that would be used in the comparison of the two means.

Let's assume we find in a study that the Pearson's correlation coefficient between number of years of education and cigarette smoking is -0.73. This means that as education level increases

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems

Decision Support Systems Working With Big Data

Using External Secondary Data

Conducting Causal Research

Collecting Descriptive Primary Data

Collecting Data by Observation

Collecting Data by Communication

Asking Good Questions

Designing the Data Collection Form

Developing the Sampling Plan

Data Collection Enhancing Response Rates While Limiting Errors

Data Preparation for Analysis

Analysis and Interpretation Individual Variables Independently

The Oral Research Presentation

The Written Research Report

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Exam 18: Analysis and Interpretation Multiple Variables Simultaneously

A popular approach to measuring the strength of the relationship between two categorical variables is

Cross tabulation work equally well with continuous measures that have been recast as categorical measures.

In a regression analysis, determining the statistical significance of the slope involves the use of the t-statistic.

A simple regression is a statistical technique used to derive an equation that relates a single continuous dependent variable to two or more independent variables.

Multiple regression analysis is useful when there are______________independent variable(s) and______________dependent variable(s).

When a computed z-value (for a test for differences between two percentages), say 4.51, is larger than the standard z-value, say 1.96, then this amounts to

Which of the following is FALSE about cross tabulations?

While the chi-square test indicates whether two variables are independent, it doesn't measure the ____________________ when they are dependent.

Refer to Scenario 18.3. The above table is an example of

What conclusion(s) can you make from the following cross tabulation?

Regression coefficients represent the______________in the outcome variable per unit change in the associated predictor variable, holding all other predictor variables constant.

In ANOVA, a______________allows a researcher to examine simultaneously the effects of two or more independent variables.

Regression is a robust analytical tool that can also be used when one or more______________variables are categorical as opposed to continuous variables.

Which of the following emphasizes the division of the sample into subgroups so as to learn how the dependent variable varies from subgroup to subgroup?

Assuming the two predictors X1 and X2 are not correlated, the coefficients of partial regression can be interpreted as the

Refer to Scenario 18.2. What will average sales be equal to when 10 salespeople are used?

Which of the following concerning the Pearson chi-square test is FALSE?

All other variables held constant, a 95% confidence interval will give us a narrower range than will a 99% confidence interval.

Refer to Scenario 18.1. Assuming that the standard error of estimate for the difference in means is 1.5, calculate the value of the test statistic that would be used in the comparison of the two means.

Let's assume we find in a study that the Pearson's correlation coefficient between number of years of education and cigarette smoking is -0.73. This means that as education level increases

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems

Decision Support Systems Working With Big Data

Using External Secondary Data

Conducting Causal Research

Collecting Descriptive Primary Data

Collecting Data by Observation

Collecting Data by Communication

Asking Good Questions

Designing the Data Collection Form

Developing the Sampling Plan

Data Collection Enhancing Response Rates While Limiting Errors

Data Preparation for Analysis

Analysis and Interpretation Individual Variables Independently

The Oral Research Presentation

The Written Research Report

Filters

Multiple regression analysis is useful when there areindependent variable(s) anddependent variable(s).

Assuming the two predictors X₁and X₂are not correlated, the coefficients of partial regression can be interpreted as the