Question 1

Percentages are always calculated in the direction of the causal variable.

Accepted Answer

A) True 
 B)False

Question 2

Regression analysis

Accepted Answer

A) is a means for getting at the nature of the relationship between one or more predictor variables and an outcome variable. 
B) "regresses" the independent variable on the set of outcome variables. 
C) produces regression coefficients for each of the predictor variables. 
D) All of these are correct. 
E) is a means for getting at the nature of the relationship between one or more predictor variables and an outcome variable and producesregression coefficients for each of the predictor variables. 
A) is a means for getting at the nature of the relationship between one or more predictor variables and an outcome variable. 
B) "regresses" the independent variable on the set of outcome variables. 
C) produces regression coefficients for each of the predictor variables. 
D) All of these are correct. 
E) is a means for getting at the nature of the relationship between one or more predictor variables and an outcome variable and producesregression coefficients for each of the predictor variables.

Question 3

If an organization selects two towns for a market study (one for the test and the other as a control)and measures the amount of trash in pounds per household,it must first determine the equality of the two towns using a test of

Accepted Answer

A) a single proportion. 
B) a single mean. 
C) two means. 
D) two proportions. 
E) None of these are correct. 
A) a single proportion. 
B) a single mean. 
C) two means. 
D) two proportions. 
E) None of these are correct.

Question 4

The value of the product-moment coefficient of correlation ranges from

Accepted Answer

A) −1.0 to 0.0. 
B) −1.0 to 1.0. 
C) −0.5 to 0.5. 
D) 0.0 to 1.0. 
E) −∞ to ∞. 
A) −1.0 to 0.0. 
B) −1.0 to 1.0. 
C) −0.5 to 0.5. 
D) 0.0 to 1.0. 
E) −∞ to ∞.

Question 5

Compare and contrast the use of analysis of variance (ANOVA)versus conducting a series of t-tests to examine differences across groups.

Accepted Answer

The ANOVA technique (a)would be more eff

Question 6

If we were comparing the difference between the mean number of sports drinks consumed by male vs.female athletes during a typical week,and we calculated a z value of 4.33,we would conclude that the probability of support of the

Accepted Answer

A) null hypothesis of no difference is less than < 0.01 because 4.33 is greater than 2.58. 
B) alternative hypothesis of no difference is less than < 0.01 because 4.33 is greater than 2.58. 
C) null hypothesis of no difference is less than < 0.01 because 4.33 is less than 2.58. 
D) alternative hypothesis of no difference is less than < 0.01 because 4.33 is less than 2.58. 
E) None of these are correct. 
A) null hypothesis of no difference is less than < 0.01 because 4.33 is greater than 2.58. 
B) alternative hypothesis of no difference is less than < 0.01 because 4.33 is greater than 2.58. 
C) null hypothesis of no difference is less than < 0.01 because 4.33 is less than 2.58. 
D) alternative hypothesis of no difference is less than < 0.01 because 4.33 is less than 2.58. 
E) None of these are correct.

Question 7

A toy storeowner hypothesizes,at the 95% level of confidence,that parents spend less than $100 on toys per visit to her store.A sample is taken,and the hypothesis test shows a z value of −1.65.We accept the hypothesis.

Accepted Answer

A) True 
 B)False

Question 8

A statistic used to measure the strength of relationship between categorical variables is called a Cramer's V.

Accepted Answer

A) True 
 B)False

Question 9

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.

Question 10

In the chi-square analysis,the greater the differences between the observed frequencies and the expected frequencies,the less likely it is that there will be a statistically significant relationship.

Accepted Answer

A) True 
 B)False

Question 11

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

Accepted Answer

A) True 
 B)False

Question 12

A gas station wants to compare a group of consumers' overall perceptions of service with overall perceptions of service for a nearby competitor.This situation calls for the use of

Accepted Answer

A) a paired sample t-test for means. 
B) analysis of variance (ANOV
A) . 
C) regression analysis. 
D) an independent samples t-test for means. 
E) correlation analysis. 
A) a paired sample t-test for means. 
B) analysis of variance (ANOV
A) . 
C) regression analysis. 
D) an independent samples t-test for means. 
E) correlation analysis.

Question 13

Assume that a researcher determines that a p-value of 0.01 or below determines significance.Listed below are several correlation coefficients and their respective significance levels.Which correlation coefficient demonstrates an association not likely due to chance (i.e.,significant)?

Accepted Answer

A) 0.22,0.06 
B) 0.75,0.00 
C) −0.32,0.15 
D) −0.76,0.95 
E) 0.26,0.10 
A) 0.22,0.06 
B) 0.75,0.00 
C) −0.32,0.15 
D) −0.76,0.95 
E) 0.26,0.10

Question 14

The simple regression technique in SPSS,not the researcher,specifies which variable should be the independent variable and which one should be the dependent variable.

Accepted Answer

A) True 
 B)False

Question 15

In testing a multiple regression equation for statistical significance,the first step involves

Accepted Answer

A) testing the intercept term using a t-test. 
B) using a t-test to examine the significance of the overall equation. 
C) using an F-test to examine the significance of the overall equation. 
D) testing each of the slope coefficients using a t-test. 
E) testing each of the slope coefficients using an F-test. 
A) testing the intercept term using a t-test. 
B) using a t-test to examine the significance of the overall equation. 
C) using an F-test to examine the significance of the overall equation. 
D) testing each of the slope coefficients using a t-test. 
E) testing each of the slope coefficients using an F-test.

Question 16

The magnitude of the Pearson correlation coefficient indicates the direction of association,while its sign indicates the strength of the association.

Accepted Answer

A) True 
 B)False

Question 17

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 18

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 these 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 these statements concerning the Pearson chi-square test are true.

Question 19

The coefficient of determination represents the relative proportion of the total variation in the outcome variable that can be accounted for by the predictor variable in the regression.

Accepted Answer

A) True 
 B)False

Question 20

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

Accepted Answer

A) True 
 B)False

Percentages are always calculated in the direction of the causal variable.

Regression analysis

If an organization selects two towns for a market study (one for the test and the other as a control)and measures the amount of trash in pounds per household,it must first determine the equality of the two towns using a test of

The value of the product-moment coefficient of correlation ranges from

Compare and contrast the use of analysis of variance (ANOVA)versus conducting a series of t-tests to examine differences across groups.

If we were comparing the difference between the mean number of sports drinks consumed by male vs.female athletes during a typical week,and we calculated a z value of 4.33,we would conclude that the probability of support of the

A toy storeowner hypothesizes,at the 95% level of confidence,that parents spend less than $100 on toys per visit to her store.A sample is taken,and the hypothesis test shows a z value of −1.65.We accept the hypothesis.

A statistic used to measure the strength of relationship between categorical variables is called a Cramer's V.

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,

In the chi-square analysis,the greater the differences between the observed frequencies and the expected frequencies,the less likely it is that there will be a statistically significant relationship.

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

A gas station wants to compare a group of consumers' overall perceptions of service with overall perceptions of service for a nearby competitor.This situation calls for the use of

Assume that a researcher determines that a p-value of 0.01 or below determines significance.Listed below are several correlation coefficients and their respective significance levels.Which correlation coefficient demonstrates an association not likely due to chance (i.e.,significant)?

The simple regression technique in SPSS,not the researcher,specifies which variable should be the independent variable and which one should be the dependent variable.

In testing a multiple regression equation for statistical significance,the first step involves

The magnitude of the Pearson correlation coefficient indicates the direction of association,while its sign indicates the strength of the association.

Which of the following is FALSE about cross tabulations?

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

The coefficient of determination represents the relative proportion of the total variation in the outcome variable that can be accounted for by the predictor variable in the regression.

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

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems: Introduction

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 for Communication Data

Developing the Sampling Plan

Data Collection: Types of Error and Response Rate Calculation

Data Preparation for Analysis

Analysis and Interpretation: Individual Variables Independently

The Oral Research Presentation

The Written Research Report

Filters

Exam 18: Analysis and Interpretation: Multiple Variables Simultaneously

Percentages are always calculated in the direction of the causal variable.

Regression analysis

If an organization selects two towns for a market study (one for the test and the other as a control)and measures the amount of trash in pounds per household,it must first determine the equality of the two towns using a test of

The value of the product-moment coefficient of correlation ranges from

Compare and contrast the use of analysis of variance (ANOVA)versus conducting a series of t-tests to examine differences across groups.

If we were comparing the difference between the mean number of sports drinks consumed by male vs.female athletes during a typical week,and we calculated a z value of 4.33,we would conclude that the probability of support of the

A toy storeowner hypothesizes,at the 95% level of confidence,that parents spend less than $100 on toys per visit to her store.A sample is taken,and the hypothesis test shows a z value of −1.65.We accept the hypothesis.

A statistic used to measure the strength of relationship between categorical variables is called a Cramer's V.

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,

In the chi-square analysis,the greater the differences between the observed frequencies and the expected frequencies,the less likely it is that there will be a statistically significant relationship.

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

A gas station wants to compare a group of consumers' overall perceptions of service with overall perceptions of service for a nearby competitor.This situation calls for the use of

Assume that a researcher determines that a p-value of 0.01 or below determines significance.Listed below are several correlation coefficients and their respective significance levels.Which correlation coefficient demonstrates an association not likely due to chance (i.e.,significant)?

The simple regression technique in SPSS,not the researcher,specifies which variable should be the independent variable and which one should be the dependent variable.

In testing a multiple regression equation for statistical significance,the first step involves

The magnitude of the Pearson correlation coefficient indicates the direction of association,while its sign indicates the strength of the association.

Which of the following is FALSE about cross tabulations?

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

The coefficient of determination represents the relative proportion of the total variation in the outcome variable that can be accounted for by the predictor variable in the regression.

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

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems: Introduction

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 for Communication Data

Developing the Sampling Plan

Data Collection: Types of Error and Response Rate Calculation

Data Preparation for Analysis

Analysis and Interpretation: Individual Variables Independently

The Oral Research Presentation

The Written Research Report

Filters