Question 1

The Pearson Product Moment correlation measures the linear relationship between two interval-scaled and/or ratio-scaled variables.

Accepted Answer

A) True 
 B)False  True

Question 2

Frequencies tables, part of cross-tabulation, contain raw data.

Accepted Answer

A) True 
 B)False  True

Question 3

The manager of the city's professional hockey team conducted a large survey. He wanted to know if there was an association between fans being "season ticket holders" versus "non-season ticket holders" and whether they "bought" versus "didn't buy" hockey team merchandise at the game. Because his survey included these measurements, he used SPSS to run a cross-tabulation analysis and selected the chi-square test to test for the significance of any association. The Pearson Chi-Square turned out to be 81.6 with an Asymp. Sig. value of .001. This meant there is a significant relationship.

Accepted Answer

A) True 
 B)False  True

Question 4

Which type of relationship would you have when you have a general direction assigned to the relationship; that is, as one variable increases, the other variable may increase (or decrease)?

Accepted Answer

A)  causal relationship 
B)  duotonic relationship 
C)  monotonic relationship 
D)  nonmonotonic relationship 
E)  curvilinear relationship 
A)  causal relationship 
B)  duotonic relationship 
C)  monotonic relationship 
D)  nonmonotonic relationship 
E)  curvilinear relationship

Question 5

We would use cross-tabulation if we wanted to visualize the nonmonotonic relationship between two nominal scaled variables.

Accepted Answer

A) True 
 B)False

Question 6

Which type of relationship is described by relationships that may be S-shaped or J-shaped?

Accepted Answer

A)  causal relationship 
B)  linear relationship 
C)  curvilinear relationship 
D)  nonmonotonic relationship 
E)  irregular relationship 
A)  causal relationship 
B)  linear relationship 
C)  curvilinear relationship 
D)  nonmonotonic relationship 
E)  irregular relationship

Question 7

Associative analyses determine whether stable relationships exist between:

Accepted Answer

A)  costs and expenses 
B)  two variables 
C)  12 or more variables 
D)  marketing and sales 
E)  statistics and results 
A)  costs and expenses 
B)  two variables 
C)  12 or more variables 
D)  marketing and sales 
E)  statistics and results

Question 8

Regardless of the size of the correlation value, if it is not significant, it is meaningless.

Accepted Answer

A) True 
 B)False

Question 9

Significant association relationships are always causal.

Accepted Answer

A) True 
 B)False

Question 10

What type of analysis would be used to answer a question such as "Which customer demographic is most strongly related to product purchase/nonpurchase"?

Accepted Answer

A)  association or relationship analysis 
B)  predictive analysis 
C)  predictive or relationship analysis 
D)  analysis of variance 
E)  canine/feline regression analysis 
A)  association or relationship analysis 
B)  predictive analysis 
C)  predictive or relationship analysis 
D)  analysis of variance 
E)  canine/feline regression analysis

Question 11

The chi-square analysis would be appropriate to determine if there is an association between the number of dollars spent on books and the number of years of education.

Accepted Answer

A) True 
 B)False

Question 12

If you have a significant and very strong correlation, greater than .90, you may assume there is a causal relationship between the two variables.

Accepted Answer

A) True 
 B)False

Question 13

Which of the following is used when describing the general pattern of nonmonotonic relationships?

Accepted Answer

A)  presence 
B)  direction 
C)  strength 
D)  pattern 
E)  concreteness 
A)  presence 
B)  direction 
C)  strength 
D)  pattern 
E)  concreteness

Question 14

In the textbook you were given an example of running a chi-square test using SPSS. The output shows a "Pearson Chi-Square" value of 23.272, df = 7 and the Asymp. Sig. = .002. This means:

Accepted Answer

A)  there is a significant association 
B)  there is no significant association 
C)  the difference is associative 
D)  the test was run incorrectly 
E)  none of the above 
A)  there is a significant association 
B)  there is no significant association 
C)  the difference is associative 
D)  the test was run incorrectly 
E)  none of the above

Question 15

Chi-square analysis always begins with the assumption that no association exists between the two nominal scaled variables under analysis.

Accepted Answer

A) True 
 B)False

Question 16

What is used to determine whether a nonmonotonic relationship exists between two nominal-scaled variables?

Accepted Answer

A)  tabulation analysis and t tests 
B)  cross-tabulation and chi-square tests 
C)  cross-tabulation and t tests 
D)  tabulation analysis and chi-square tests 
E)  only t tests 
A)  tabulation analysis and t tests 
B)  cross-tabulation and chi-square tests 
C)  cross-tabulation and t tests 
D)  tabulation analysis and chi-square tests 
E)  only t tests

Question 17

If you were to find a significant association between two nominally scaled variables, a good way to present the findings in your cross-tabulation table would be to use:

Accepted Answer

A)  a p value for each nonmonotonic relationship found 
B)  a Sig. value for each nonmonotonic relationship found 
C)  graphical presentations 
D)  numerical presentations that clearly indicate the direction and strength of the relationship 
E)  numerical presentations that clearly indicate the linear values in the relationship 
A)  a p value for each nonmonotonic relationship found 
B)  a Sig. value for each nonmonotonic relationship found 
C)  graphical presentations 
D)  numerical presentations that clearly indicate the direction and strength of the relationship 
E)  numerical presentations that clearly indicate the linear values in the relationship

Question 18

Generally speaking, the chi-square value is calculated by dividing the sum of the squared differences between observed and expected frequencies by the expected frequencies.

Accepted Answer

A) True 
 B)False

Question 19

If you wished to compute a Pearson Product Moment correlation coefficient using SPSS, which command sequence would you use?

Accepted Answer

A)  CORRELATE; PEARSON; GO 
B)  ANALYZE; CORRELATE; PEARSON 
C)  ANALYZE; CORRELATE; PEARSON; R 
D)  ANALYZE; CORRELATE; PEARSON; GO 
E)  ANALYZE; CORRELATE; BIVARIATE 
A)  CORRELATE; PEARSON; GO 
B)  ANALYZE; CORRELATE; PEARSON 
C)  ANALYZE; CORRELATE; PEARSON; R 
D)  ANALYZE; CORRELATE; PEARSON; GO 
E)  ANALYZE; CORRELATE; BIVARIATE

Question 20

Which of the following are caveats of correlation?

Accepted Answer

A)  It's use is limited to metric variables (interval or ratio scaled). 
B)  It examines the relationship between only two variables. 
C)  Do not assume cause and effect. 
D)  It is limited to linear relationships. 
E)  all of the above 
A)  It's use is limited to metric variables (interval or ratio scaled). 
B)  It examines the relationship between only two variables. 
C)  Do not assume cause and effect. 
D)  It is limited to linear relationships. 
E)  all of the above

The Pearson Product Moment correlation measures the linear relationship between two interval-scaled and/or ratio-scaled variables.

Frequencies tables, part of cross-tabulation, contain raw data.

Which type of relationship would you have when you have a general direction assigned to the relationship; that is, as one variable increases, the other variable may increase (or decrease)?

We would use cross-tabulation if we wanted to visualize the nonmonotonic relationship between two nominal scaled variables.

Which type of relationship is described by relationships that may be S-shaped or J-shaped?

Associative analyses determine whether stable relationships exist between:

Regardless of the size of the correlation value, if it is not significant, it is meaningless.

Significant association relationships are always causal.

What type of analysis would be used to answer a question such as "Which customer demographic is most strongly related to product purchase/nonpurchase"?

The chi-square analysis would be appropriate to determine if there is an association between the number of dollars spent on books and the number of years of education.

If you have a significant and very strong correlation, greater than .90, you may assume there is a causal relationship between the two variables.

Which of the following is used when describing the general pattern of nonmonotonic relationships?

In the textbook you were given an example of running a chi-square test using SPSS. The output shows a "Pearson Chi-Square" value of 23.272, df = 7 and the Asymp. Sig. = .002. This means:

Chi-square analysis always begins with the assumption that no association exists between the two nominal scaled variables under analysis.

What is used to determine whether a nonmonotonic relationship exists between two nominal-scaled variables?

If you were to find a significant association between two nominally scaled variables, a good way to present the findings in your cross-tabulation table would be to use:

Generally speaking, the chi-square value is calculated by dividing the sum of the squared differences between observed and expected frequencies by the expected frequencies.

If you wished to compute a Pearson Product Moment correlation coefficient using SPSS, which command sequence would you use?

Which of the following are caveats of correlation?

Introduction to Marketing Research

The Marketing Research Process

The Marketing Research Industry

Defining the Problem and Determining Research Objectives

Research Design

Using Secondary Data and Online Information Databases

Standardized Information Sources

Observation, Focus Groups, and Other Qualitative Methods

Survey Data-Collection Methods

Measurement in Marketing Research

Designing the Questionnaire

Determining How to Select the Sample

Determining the Size of a Sample

Data Collection in the Field, Nonresponse Error, and Questionnaire Screening

Basic Data Analysis: Descriptive Statistics

Generalizing a Sample's Findings to its Population and Testing Hypotheses About Percents and Means

Testing for Differences Between Two Groups or Among More Than

Regression Analysis in Marketing Research

The Marketing Research Report: Preparation and Presentation

Filters

Exam 18: Determining and Interpreting Associations Among Variables

The Pearson Product Moment correlation measures the linear relationship between two interval-scaled and/or ratio-scaled variables.

Frequencies tables, part of cross-tabulation, contain raw data.

Which type of relationship would you have when you have a general direction assigned to the relationship; that is, as one variable increases, the other variable may increase (or decrease)?

We would use cross-tabulation if we wanted to visualize the nonmonotonic relationship between two nominal scaled variables.

Which type of relationship is described by relationships that may be S-shaped or J-shaped?

Associative analyses determine whether stable relationships exist between:

Regardless of the size of the correlation value, if it is not significant, it is meaningless.

Significant association relationships are always causal.

What type of analysis would be used to answer a question such as "Which customer demographic is most strongly related to product purchase/nonpurchase"?

The chi-square analysis would be appropriate to determine if there is an association between the number of dollars spent on books and the number of years of education.

If you have a significant and very strong correlation, greater than .90, you may assume there is a causal relationship between the two variables.

Which of the following is used when describing the general pattern of nonmonotonic relationships?

In the textbook you were given an example of running a chi-square test using SPSS. The output shows a "Pearson Chi-Square" value of 23.272, df = 7 and the Asymp. Sig. = .002. This means:

Chi-square analysis always begins with the assumption that no association exists between the two nominal scaled variables under analysis.

What is used to determine whether a nonmonotonic relationship exists between two nominal-scaled variables?

If you were to find a significant association between two nominally scaled variables, a good way to present the findings in your cross-tabulation table would be to use:

Generally speaking, the chi-square value is calculated by dividing the sum of the squared differences between observed and expected frequencies by the expected frequencies.

If you wished to compute a Pearson Product Moment correlation coefficient using SPSS, which command sequence would you use?

Which of the following are caveats of correlation?

Introduction to Marketing Research

The Marketing Research Process

The Marketing Research Industry

Defining the Problem and Determining Research Objectives

Research Design

Using Secondary Data and Online Information Databases

Standardized Information Sources

Observation, Focus Groups, and Other Qualitative Methods

Survey Data-Collection Methods

Measurement in Marketing Research

Designing the Questionnaire

Determining How to Select the Sample

Determining the Size of a Sample

Data Collection in the Field, Nonresponse Error, and Questionnaire Screening

Basic Data Analysis: Descriptive Statistics

Generalizing a Sample's Findings to its Population and Testing Hypotheses About Percents and Means

Testing for Differences Between Two Groups or Among More Than

Regression Analysis in Marketing Research

The Marketing Research Report: Preparation and Presentation

Filters