Question 1

To run chi-square analysis in SPSS,you should go to the Crosstabs command,click Statistics,then select Chi-Square.

Accepted Answer

A) True 
 B)False

Question 2

Which of the following refers to the finding that a systematic relationship exists between the two variables of interest in the population?

Accepted Answer

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

Question 3

The product life cycle curve that describes the sales pattern of a new product over time (growing slowly during its introduction and then spurting upward rapidly during its growth stage and finally plateauing or slowing down considerably as the market becomes saturated)is an example of which type of relationship?

Accepted Answer

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

Question 4

Which type of relationship is described by the formula: y = a + bx?

Accepted Answer

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

In chi-square,the null hypothesis states that there is no association.When the "Asymp.Sig." on the SPSS output is low,this means there is low support for the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 7

Let's assume we use SPSS to run a correlation analysis,and we get a Pearson correlation coefficient of .941 and a Sig.value of .000.These figures mean:

Accepted Answer

A) there is 94.1 percent probability for supporting the null hypothesis. 
B) there is little or no probability for supporting the null hypothesis. 
C) there is little or no probability for supporting the null hypothesis,and there is a strong association. 
D) there is little or no probability for supporting the null hypothesis,and there is a strong,positive association. 
E) that more information is needed. 
A) there is 94.1 percent probability for supporting the null hypothesis. 
B) there is little or no probability for supporting the null hypothesis. 
C) there is little or no probability for supporting the null hypothesis,and there is a strong association. 
D) there is little or no probability for supporting the null hypothesis,and there is a strong,positive association. 
E) that more information is needed.

Question 8

A relationship in which the presence (or absence)of one variable is systematically associated with the presence (or absence)of another is:

Accepted Answer

A) causal relationship. 
B) linear relationship. 
C) monotonic relationship. 
D) nonmonotonic relationship. 
E) alinear relationship. 
A) causal relationship. 
B) linear relationship. 
C) monotonic relationship. 
D) nonmonotonic relationship. 
E) alinear relationship.

Question 9

Chi-square analysis is a form of a "goodness of fit" test.

Accepted Answer

A) True 
 B)False

Question 10

Which of the following were discussed by the authors as being ways that we may characterize relationships?

Accepted Answer

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

Question 11

If you plotted data between two variables and the points all fell precisely in a straight line that was sloping upward to the right,your correlation coefficient would be equal to +1.0.

Accepted Answer

A) True 
 B)False

Question 12

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

Question 13

The intersection of a row and column in a cross-tabulation table is called:

Accepted Answer

A) a cross-tabulation cell. 
B) a dangerous intersection. 
C) a chi-square. 
D) a cross-cell interaction. 
E) a row box. 
A) a cross-tabulation cell. 
B) a dangerous intersection. 
C) a chi-square. 
D) a cross-cell interaction. 
E) a row box.

Question 14

To use a correlation,you must first establish that it is statistically significant from 1.

Accepted Answer

A) True 
 B)False

Question 15

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

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

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

Accepted Answer

A) True 
 B)False

Question 18

When it comes to determining the statistical significance of the correlation coefficient,there are rules of thumb.For example,.81 to 1.00 is considered to be "strong."

Accepted Answer

A) True 
 B)False

Question 19

The key to establishing a nonmonotonic relationship between two variables is determining if one is present (or absent)when the other is present (or absent).

Accepted Answer

A) True 
 B)False

Question 20

When we present findings on cross-tabulations with chi-square analysis,graphical presentations such as bar or stacked bar charts are often useful.

Accepted Answer

A) True 
 B)False

To run chi-square analysis in SPSS,you should go to the Crosstabs command,click Statistics,then select Chi-Square.

Which of the following refers to the finding that a systematic relationship exists between the two variables of interest in the population?

Which type of relationship is described by the formula: y = a + bx?

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

In chi-square,the null hypothesis states that there is no association.When the "Asymp.Sig." on the SPSS output is low,this means there is low support for the null hypothesis.

Let's assume we use SPSS to run a correlation analysis,and we get a Pearson correlation coefficient of .941 and a Sig.value of .000.These figures mean:

A relationship in which the presence (or absence)of one variable is systematically associated with the presence (or absence)of another is:

Chi-square analysis is a form of a "goodness of fit" test.

Which of the following were discussed by the authors as being ways that we may characterize relationships?

If you plotted data between two variables and the points all fell precisely in a straight line that was sloping upward to the right,your correlation coefficient would be equal to +1.0.

The intersection of a row and column in a cross-tabulation table is called:

To use a correlation,you must first establish that it is statistically significant from 1.

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

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

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

When it comes to determining the statistical significance of the correlation coefficient,there are rules of thumb.For example,.81 to 1.00 is considered to be "strong."

The key to establishing a nonmonotonic relationship between two variables is determining if one is present (or absent)when the other is present (or absent).

When we present findings on cross-tabulations with chi-square analysis,graphical presentations such as bar or stacked bar charts are often useful.

Introduction to Marketing Research

The Marketing Research Industry

The Marketing Research Process Defining the Problem and Research Objectives

Research Design

Secondary Data Packaged Information

Utilizing Exploratory and Qualitative Research Techniques

Evaluating Survey Data Collection Methods

Understanding Measurement, developing Questions, and Designing the Questionnaire

Selecting the Sample

Determining the Size of a Sample

Dealing With Fieldwork and Data Quality

Using Basic Descriptive Analysis, performing Population Estimates, and Testing Hypotheses

Implementing Basic Differences Tests

Understanding Regression Analysis Basics

Writing the Research Report

Filters

Exam 14: Making Use of Associations Tests

To run chi-square analysis in SPSS,you should go to the Crosstabs command,click Statistics,then select Chi-Square.

Which of the following refers to the finding that a systematic relationship exists between the two variables of interest in the population?

Which type of relationship is described by the formula: y = a + bx?

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

In chi-square,the null hypothesis states that there is no association.When the "Asymp.Sig." on the SPSS output is low,this means there is low support for the null hypothesis.

Let's assume we use SPSS to run a correlation analysis,and we get a Pearson correlation coefficient of .941 and a Sig.value of .000.These figures mean:

A relationship in which the presence (or absence)of one variable is systematically associated with the presence (or absence)of another is:

Chi-square analysis is a form of a "goodness of fit" test.

Which of the following were discussed by the authors as being ways that we may characterize relationships?

If you plotted data between two variables and the points all fell precisely in a straight line that was sloping upward to the right,your correlation coefficient would be equal to +1.0.

The intersection of a row and column in a cross-tabulation table is called:

To use a correlation,you must first establish that it is statistically significant from 1.

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

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

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

When it comes to determining the statistical significance of the correlation coefficient,there are rules of thumb.For example,.81 to 1.00 is considered to be "strong."

The key to establishing a nonmonotonic relationship between two variables is determining if one is present (or absent)when the other is present (or absent).

When we present findings on cross-tabulations with chi-square analysis,graphical presentations such as bar or stacked bar charts are often useful.

Introduction to Marketing Research

The Marketing Research Industry

The Marketing Research Process Defining the Problem and Research Objectives

Research Design

Secondary Data Packaged Information

Utilizing Exploratory and Qualitative Research Techniques

Evaluating Survey Data Collection Methods

Understanding Measurement, developing Questions, and Designing the Questionnaire

Selecting the Sample

Determining the Size of a Sample

Dealing With Fieldwork and Data Quality

Using Basic Descriptive Analysis, performing Population Estimates, and Testing Hypotheses

Implementing Basic Differences Tests

Understanding Regression Analysis Basics

Writing the Research Report

Filters