Question 1

Which of the following correlation coefficients would indicate a "moderate" association?

Accepted Answer

A) .85 
B) -.85 
C) -.75 
D) .35 
E) .60 
A) .85 
B) -.85 
C) -.75 
D) .35 
E) .60

Question 2

Michelle Steward is a marketing professor at Wake Forest University.Michelle had been asked by the administration to study a sample of classes at Wake to help the university understand the student population better,particularly in terms of factors that differentiate students with high versus low GPAs.One of the questions asked was: "Did you pass or fail the last test you took?" and another question in the study asked "Did you study or not study for the last test you took?" Michelle decided to run a cross-tabulation analysis on these two questions.When she did she also ran the chi-square test.The result was a Pearson Chi-Square Value of 8.64 and a p value reported as a "Sig." in SPSS of .03.Michelle knew that this meant:

Accepted Answer

A) there was a significant,positive association between the two variables 
B) there was the presence of an association;the probability of supporting the null hypothesis that there is no association is only 3 percent 
C) there was the presence of a negative association;the probability of supporting the null hypothesis that there is no association is only 3 percent 
D) there was the presence of a positive,"very strong" association because the probability of supporting the null hypothesis that there is no association is only .03 percent 
E) None of the above;Michelle should not have run a chi-square test because the two variables are both metric. 
A) there was a significant,positive association between the two variables 
B) there was the presence of an association;the probability of supporting the null hypothesis that there is no association is only 3 percent 
C) there was the presence of a negative association;the probability of supporting the null hypothesis that there is no association is only 3 percent 
D) there was the presence of a positive,"very strong" association because the probability of supporting the null hypothesis that there is no association is only .03 percent 
E) None of the above;Michelle should not have run a chi-square test because the two variables are both metric.

Question 3

If we determine a precise linear relationship between two variables,then by knowing the value of one variable we should be able to predict the other variable.

Accepted Answer

A) True 
 B)False

Question 4

A correlation coefficient is an index number constrained to fall between the range of -1.0 and +1.0 that communicates both the strength and the direction of association between three or more variables.

Accepted Answer

A) True 
 B)False

Question 5

Pontiac wants to know what types of persons respond favorably to proposed style changes in the Firebird.Frito-Lay wants to know what kinds of people buy from the Frito-Lay line.These are questions that may be answered through:

Accepted Answer

A) relationship analysis. 
B) chi-square analysis. 
C) associative analysis. 
D) analysis of variance. 
E) regression analysis. 
A) relationship analysis. 
B) chi-square analysis. 
C) associative analysis. 
D) analysis of variance. 
E) regression analysis.

Question 6

Assume that a researcher and client determine that a p value of .05 or less determines significance.Listed below are several correlation coefficients and their respective significance levels.Which correlation coefficient demonstrates an association not likely due to chance;that is,is it significant?

Accepted Answer

A) .22,.06 
B) .75,.05 
C) .32,.15 
D) .76,.95 
E) .05,1.00 
A) .22,.06 
B) .75,.05 
C) .32,.15 
D) .76,.95 
E) .05,1.00

Question 7

Associative analysis procedures identify if there are consistent and systematic relationships between variables.

Accepted Answer

A) True 
 B)False

Question 8

The logic of the chi-square test would argue that,for a significant relationship to exist:

Accepted Answer

A) there should be large differences between the observed and expected frequencies. 
B) there should be few differences between the observed and expected frequencies. 
C) there should be no differences between the observed and expected frequencies. 
D) there should be negative differences between the observed and expected frequencies. 
E) there should be only one difference between the observed and expected frequencies. 
A) there should be large differences between the observed and expected frequencies. 
B) there should be few differences between the observed and expected frequencies. 
C) there should be no differences between the observed and expected frequencies. 
D) there should be negative differences between the observed and expected frequencies. 
E) there should be only one difference between the observed and expected frequencies.

Question 9

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 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

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 12

We know that McDonald's customers drink coffee for breakfast and soft drinks at lunch.This is an example of what type of relationship?

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 13

The fact that most tourists at sunny beach resorts use sun block is a curvilinear relationship.

Accepted Answer

A) True 
 B)False

Question 14

The Pearson product moment correlation measures the linear relationship between two:

Accepted Answer

A) nominal- or ordinal-scaled variables. 
B) nominal- or interval-scaled variables. 
C) interval- or ratio-scaled variables. 
D) nominal- or ratio-scaled variables. 
E) ordinal- or interval-scaled variables. 
A) nominal- or ordinal-scaled variables. 
B) nominal- or interval-scaled variables. 
C) interval- or ratio-scaled variables. 
D) nominal- or ratio-scaled variables. 
E) ordinal- or interval-scaled variables.

Which of the following correlation coefficients would indicate a "moderate" association?

If we determine a precise linear relationship between two variables,then by knowing the value of one variable we should be able to predict the other variable.

A correlation coefficient is an index number constrained to fall between the range of -1.0 and +1.0 that communicates both the strength and the direction of association between three or more variables.

Pontiac wants to know what types of persons respond favorably to proposed style changes in the Firebird.Frito-Lay wants to know what kinds of people buy from the Frito-Lay line.These are questions that may be answered through:

Assume that a researcher and client determine that a p value of .05 or less determines significance.Listed below are several correlation coefficients and their respective significance levels.Which correlation coefficient demonstrates an association not likely due to chance;that is,is it significant?

Associative analysis procedures identify if there are consistent and systematic relationships between variables.

The logic of the chi-square test would argue that,for a significant relationship to exist:

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

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.

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

We know that McDonald's customers drink coffee for breakfast and soft drinks at lunch.This is an example of what type of relationship?

The fact that most tourists at sunny beach resorts use sun block is a curvilinear relationship.

The Pearson product moment correlation measures the linear relationship between two:

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

Which of the following correlation coefficients would indicate a "moderate" association?

If we determine a precise linear relationship between two variables,then by knowing the value of one variable we should be able to predict the other variable.

A correlation coefficient is an index number constrained to fall between the range of -1.0 and +1.0 that communicates both the strength and the direction of association between three or more variables.

Pontiac wants to know what types of persons respond favorably to proposed style changes in the Firebird.Frito-Lay wants to know what kinds of people buy from the Frito-Lay line.These are questions that may be answered through:

Associative analysis procedures identify if there are consistent and systematic relationships between variables.

The logic of the chi-square test would argue that,for a significant relationship to exist:

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

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.

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

We know that McDonald's customers drink coffee for breakfast and soft drinks at lunch.This is an example of what type of relationship?

The fact that most tourists at sunny beach resorts use sun block is a curvilinear relationship.

The Pearson product moment correlation measures the linear relationship between two:

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