Question 1

If the null hypothesis of no differences across groups is true,

Accepted Answer

A) total variation should be equal to between-group variation. 
B) between-group variation should be equal to within-group variation. 
C) within-group variation should be equal to total variation. 
D) None of these are correct. 
E) All of these are correct. 
A) total variation should be equal to between-group variation. 
B) between-group variation should be equal to within-group variation. 
C) within-group variation should be equal to total variation. 
D) None of these are correct. 
E) All of these are correct.

Question 2

In which of the following situations would it be useful to test for differences between two groups?

Accepted Answer

A) A retailer wishes to know if customer satisfaction is different between in-store vs.online shoppers. 
B) A beverage company wants to know if a new beverage concept differs between users vs.nonusers of the current brand. 
C) A department store wishes to know the differences between online catalogs vs.mail order catalog shoppers. 
D) A state university wants to know is there is a significant difference in GPA between undergradu-ate and graduate students. 
E) All of these situations would benefit from tests for differences between two groups. 
A) A retailer wishes to know if customer satisfaction is different between in-store vs.online shoppers. 
B) A beverage company wants to know if a new beverage concept differs between users vs.nonusers of the current brand. 
C) A department store wishes to know the differences between online catalogs vs.mail order catalog shoppers. 
D) A state university wants to know is there is a significant difference in GPA between undergradu-ate and graduate students. 
E) All of these situations would benefit from tests for differences between two groups.

Question 3

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

Accepted Answer

A) True 
 B)False

Question 4

Cramer's V is scaled to range between

Accepted Answer

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

Question 5

A researcher is interested in comparing the usage of bank debit cards by consumers in rural (r)and urban (u)areas.Each year for the past five years,she has surveyed 500 individuals (one-half urban,one-half rural)randomly selected from across the United States.She is specifically interested in any differences that may exist between the two groups with regard to usage.The results of the current study indicate that people in urban areas use bank debit cards 12 times per month on average,while those in rural areas use bank cards 10 times per month on average.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 these are correct. 
A) 0.75 
B) 1.33 
C) 1.88 
D) 1.96 
E) None of these are correct.

Question 6

A statistical technique used with a continuous dependent variable and one or more categorical independent variables is called a Cramer V.

Accepted Answer

A) True 
 B)False

Question 7

Suppose the ordinary least-squares approach to a regression analysis produced the following: Y = 20 - 39X and R2 = .90.Which of the following statements is FALSE?

Accepted Answer

A) For every unit change in X there is a corresponding negative change in the average value of Y of 39 units. 
B) 90% of the variation in Y is associated with variation in X. 
C) The slope of the line is 20. 
D) The average value of Y given x = 10 is −370. 
E) If X = 0,then Y = 20. 
A) For every unit change in X there is a corresponding negative change in the average value of Y of 39 units. 
B) 90% of the variation in Y is associated with variation in X. 
C) The slope of the line is 20. 
D) The average value of Y given x = 10 is −370. 
E) If X = 0,then Y = 20.

Question 8

Suppose you were given an example of running a chi-square test using SPSS.The output shows a "Pearson Chi-Square" value of 82.123,df = 3 and the Asymp.Sig.= 0.000.This means

Accepted Answer

A) there is a significant association. 
B) there is no significant association. 
C) the difference is associative. 
D) the means are not equal. 
E) the variances are equal. 
A) there is a significant association. 
B) there is no significant association. 
C) the difference is associative. 
D) the means are not equal. 
E) the variances are equal.

Question 9

Which of the following is a technique that measures the closeness of the relationship between two or more variables by considering their joint variation?

Accepted Answer

A) Correlation analysis 
B) Analysis of variance (ANOV
A)  
C) Multiple regression analysis 
D) z-test 
E) F-test 
A) Correlation analysis 
B) Analysis of variance (ANOV
A)  
C) Multiple regression analysis 
D) z-test 
E) F-test

Question 10

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 11

The multiple R,also called the coefficient of determination,in multiple regression ranges from 0.00 to +1.00 and represents the amount of the dependent variable "explained" by the combined independent variables.

Accepted Answer

A) True 
 B)False

Question 12

If a = 0.152 and b = 1.32,the simple regression equation is

Accepted Answer

A) Yi = 1.32 − 0.152 Xi 
B) Yi = 0.152 + 1.32 Xi 
C) Yi = 0.152 − 1.32 Xi 
D) Yi = 0.152/1.32 + Xi 
E) None of these are correct. 
A) Yi = 1.32 − 0.152 Xi 
B) Yi = 0.152 + 1.32 Xi 
C) Yi = 0.152 − 1.32 Xi 
D) Yi = 0.152/1.32 + Xi 
E) None of these are correct.

Question 13

The upper limit of the Pearson chi-square test of independence is limited by

Accepted Answer

A) sample size. 
B) the distribution of cases across the cells. 
C) degrees of freedom. 
D) sample size and distribution of cases across the cells. 
E) sample size and degrees of freedom. 
A) sample size. 
B) the distribution of cases across the cells. 
C) degrees of freedom. 
D) sample size and distribution of cases across the cells. 
E) sample size and degrees of freedom.

Question 14

If the F-value in ANOVA produces a significantly high p-value (a.k.a."Sig." in SPSS)of 0.11 or more,then it is appropriate to proceed with a post-hoc test (e.g.,Duncan).

Accepted Answer

A) True 
 B)False

Question 15

A factorial design is an ANOVA analysis that includes two or more dependent variables.

Accepted Answer

A) True 
 B)False

Question 16

The numerator in the Pearson product-moment correlation coefficient formula

Accepted Answer

A) is called the cross-products sum. 
B) establishes the degree of covariation between two variables. 
C) can range from −1.0 to +1.0. 
D) is called the cross-products sum and establishes the degree of covariation between two variables. 
E) is called the cross-product sum and can range from−1.0 to +1.0. 
A) is called the cross-products sum. 
B) establishes the degree of covariation between two variables. 
C) can range from −1.0 to +1.0. 
D) is called the cross-products sum and establishes the degree of covariation between two variables. 
E) is called the cross-product sum and can range from−1.0 to +1.0.

Question 17

Given a cross tabulation between years of education and income,we would compute percentages in the direction of years of education because

Accepted Answer

A) the probability that given X income you will have Y years of education makes sense. 
B) the probability that given X years of education you will have Y income makes sense. 
C) It doesn't matter which way you do it. 
D) All of these are correct. 
E) None of these are correct. 
A) the probability that given X income you will have Y years of education makes sense. 
B) the probability that given X years of education you will have Y income makes sense. 
C) It doesn't matter which way you do it. 
D) All of these are correct. 
E) None of these are correct.

Question 18

Suppose that the relationship between sales (Y,in $000)and number of salespeople (X)is represented by the following regression equation: Y = 105.2 + 35.8X.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 19

In ANOVA,the independent variables are typically called

Accepted Answer

A) treatments. 
B) factors. 
C) F-statistics. 
D) causal variables. 
E) tabulations. 
A) treatments. 
B) factors. 
C) F-statistics. 
D) causal variables. 
E) tabulations.

Question 20

Which of the following statements about regression/correlation analysis is FALSE?

Accepted Answer

A) Correlation analysis involves the measurement of the closeness of the relationship between two or more variables. 
B) Regression analysis involves the derivation of an equation that relates the criterion variable to one or more predictor variables. 
C) Regression analysis can establish the causal relationship between two or more variables. 
D) The regression line minimizes the sum of the squared deviations about the line. 
E) It is much more common to conduct regression analyses using a computer. 
A) Correlation analysis involves the measurement of the closeness of the relationship between two or more variables. 
B) Regression analysis involves the derivation of an equation that relates the criterion variable to one or more predictor variables. 
C) Regression analysis can establish the causal relationship between two or more variables. 
D) The regression line minimizes the sum of the squared deviations about the line. 
E) It is much more common to conduct regression analyses using a computer.

If the null hypothesis of no differences across groups is true,

In which of the following situations would it be useful to test for differences between two groups?

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

Cramer's V is scaled to range between

A statistical technique used with a continuous dependent variable and one or more categorical independent variables is called a Cramer V.

Suppose the ordinary least-squares approach to a regression analysis produced the following: Y = 20 - 39X and R2 = .90.Which of the following statements is FALSE?

Suppose you were given an example of running a chi-square test using SPSS.The output shows a "Pearson Chi-Square" value of 82.123,df = 3 and the Asymp.Sig.= 0.000.This means

Which of the following is a technique that measures the closeness of the relationship between two or more variables by considering their joint variation?

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

The multiple R,also called the coefficient of determination,in multiple regression ranges from 0.00 to +1.00 and represents the amount of the dependent variable "explained" by the combined independent variables.

If a = 0.152 and b = 1.32,the simple regression equation is

The upper limit of the Pearson chi-square test of independence is limited by

If the F-value in ANOVA produces a significantly high p-value (a.k.a."Sig." in SPSS)of 0.11 or more,then it is appropriate to proceed with a post-hoc test (e.g.,Duncan).

A factorial design is an ANOVA analysis that includes two or more dependent variables.

The numerator in the Pearson product-moment correlation coefficient formula

Given a cross tabulation between years of education and income,we would compute percentages in the direction of years of education because

Suppose that the relationship between sales (Y,in $000)and number of salespeople (X)is represented by the following regression equation: Y = 105.2 + 35.8X.What will average sales be equal to when 10 salespeople are used?

In ANOVA,the independent variables are typically called

Which of the following statements about regression/correlation analysis is FALSE?

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

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Exam 18: Analysis and Interpretation: Multiple Variables Simultaneously

If the null hypothesis of no differences across groups is true,

In which of the following situations would it be useful to test for differences between two groups?

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

Cramer's V is scaled to range between

A statistical technique used with a continuous dependent variable and one or more categorical independent variables is called a Cramer V.

Suppose the ordinary least-squares approach to a regression analysis produced the following: Y = 20 - 39X and R2 = .90.Which of the following statements is FALSE?

Suppose you were given an example of running a chi-square test using SPSS.The output shows a "Pearson Chi-Square" value of 82.123,df = 3 and the Asymp.Sig.= 0.000.This means

Which of the following is a technique that measures the closeness of the relationship between two or more variables by considering their joint variation?

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

The multiple R,also called the coefficient of determination,in multiple regression ranges from 0.00 to +1.00 and represents the amount of the dependent variable "explained" by the combined independent variables.

If a = 0.152 and b = 1.32,the simple regression equation is

The upper limit of the Pearson chi-square test of independence is limited by

If the F-value in ANOVA produces a significantly high p-value (a.k.a."Sig." in SPSS)of 0.11 or more,then it is appropriate to proceed with a post-hoc test (e.g.,Duncan).

A factorial design is an ANOVA analysis that includes two or more dependent variables.

The numerator in the Pearson product-moment correlation coefficient formula

Given a cross tabulation between years of education and income,we would compute percentages in the direction of years of education because

Suppose that the relationship between sales (Y,in $000)and number of salespeople (X)is represented by the following regression equation: Y = 105.2 + 35.8X.What will average sales be equal to when 10 salespeople are used?

In ANOVA,the independent variables are typically called

Which of the following statements about regression/correlation analysis is FALSE?

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