Question 1

The chi-square test is useful for determining:

Accepted Answer

A) if a nonmonotonic relationship exists between two nominal-scaled variables. 
B) if a monotonic relationship exists between two nominal-scaled variables. 
C) if a nonmonotonic relationship exists between two interval-scaled variables. 
D) if a duotonic relationship exists between two variables. 
E) if a duotonic relationship exists between three variables. 
A) if a nonmonotonic relationship exists between two nominal-scaled variables. 
B) if a monotonic relationship exists between two nominal-scaled variables. 
C) if a nonmonotonic relationship exists between two interval-scaled variables. 
D) if a duotonic relationship exists between two variables. 
E) if a duotonic relationship exists between three variables. A

Question 2

Which type of relationship is a "straight-line" relationship between two variables and for which allows us to know the knowledge of one variable if we have knowledge of the other?

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 B

Question 3

The characteristic of direction,in describing the relationship between two variables,is applicable only when the relationship is either monotonic or linear.

Accepted Answer

A) True 
 B)False  True

Question 4

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,"What score did you earn (0 to 100)on the last test that you took?" and another question in the study asked,"How much time,estimated in numbers of minutes,did you study for the last test you took?" Michelle decided to run a Pearson product moment correlation analysis on these two questions.When she did,SPSS generated the following output: Pearson Correlation .98;Sig.(2 tailed).0001.Michelle knew that this meant:

Accepted Answer

A) there was a significant,nonmonotonic association between the two variables. 
B) there was the presence of an association because the probability of supporting the alternative hypothesis is very low,less than 1 percent. 
C) there was the presence of a negative association;the probability of supporting the null hypothesis that there is no association is only .01 percent. 
D) there was the presence (aka "significant")of a positive,"very strong" association between the variables. 
E) None of the above;Michelle should not have run a Pearson product moment correlation because the two variables are both categorical (aka nominal). 
A) there was a significant,nonmonotonic association between the two variables. 
B) there was the presence of an association because the probability of supporting the alternative hypothesis is very low,less than 1 percent. 
C) there was the presence of a negative association;the probability of supporting the null hypothesis that there is no association is only .01 percent. 
D) there was the presence (aka "significant")of a positive,"very strong" association between the variables. 
E) None of the above;Michelle should not have run a Pearson product moment correlation because the two variables are both categorical (aka nominal).

Question 5

Associative analysis procedures are useful because they determine if there is a consistent and systematic relationship between the presence (label)or amount of one variable and the:

Accepted Answer

A) nonpresence of a regressive relationship. 
B) presence (label)or amount of another variable. 
C) presence (label)or amount of the same variable. 
D) covariance of the other variable. 
E) presence of unobservable variables. 
A) nonpresence of a regressive relationship. 
B) presence (label)or amount of another variable. 
C) presence (label)or amount of the same variable. 
D) covariance of the other variable. 
E) presence of unobservable variables.

Question 6

When we present findings on cross-tabulations with chi-square analysis,we cannot use the characteristics of direction or strength because we are dealing with categorical,or nominal scaled,variables.

Accepted Answer

A) True 
 B)False

Question 7

You are an officer in your college's Student Marketing Association.You are looking for ways to ensure that members will join again the following year.Students tend to join for one semester or one year and then drop out.You decide to take a simple random sample of this year's members and give them a survey.One of the questions asks: Will you join the SMA next semester? Yes,No,Don't Know.Another question asks respondents to check all the following that they feel provides them with "value" by virtue of being in the SMA: free food at meetings,getting to socialize in a relaxed setting with fellow classmates,learning about businesses through the guest speaker program,getting job search information through the organization's "Career Search" program,and getting to know your professors on a more personal basis.You want to know which of these are related to whether or not students will join the SMA in the next semester.What analysis should you run?

Accepted Answer

A) association analysis between the question that asks if they will join and each one of the remaining questions 
B) differences analysis between the question that asks if they will join and each one of the remaining questions 
C) predictive analysis between the question that asks if they will join and each one of the remaining questions 
D) determinant analysis between the question that asks if they will join and each one of the remaining questions 
E) None of the above;there is no analysis that will help identify which of these issues are related to rejoining the SMA. 
A) association analysis between the question that asks if they will join and each one of the remaining questions 
B) differences analysis between the question that asks if they will join and each one of the remaining questions 
C) predictive analysis between the question that asks if they will join and each one of the remaining questions 
D) determinant analysis between the question that asks if they will join and each one of the remaining questions 
E) None of the above;there is no analysis that will help identify which of these issues are related to rejoining the SMA.

Question 8

If we were to graph two variables,let's say,height (in inches)and GPA,and the graph showed points scattered about in a formless shape,we could say there is:

Accepted Answer

A) likely no significant relationship between height and GPA. 
B) likely a positive relationship between height and GPA. 
C) likely a negative relationship between height and GPA. 
D) a need to re-graph the data. 
E) likely a curvilinear relationship between height and GPA. 
A) likely no significant relationship between height and GPA. 
B) likely a positive relationship between height and GPA. 
C) likely a negative relationship between height and GPA. 
D) a need to re-graph the data. 
E) likely a curvilinear relationship between height and GPA.

Question 9

If we run the chi-square test and we get a .02 level of significance to support the null hypothesis,this means:

Accepted Answer

A) there is adequate support for the null hypothesis. 
B) there is no association between the two nominally scaled variables. 
C) there is only a 2 percent chance that the two nominally scaled variables are systematically related. 
D) there is a significant association between the two nominally scaled variables,and this information alone is adequate to explain the nature of the association. 
E) there is a significant association between the two nominally scaled variables,but this information alone is a "flag" that we need to look more closely at the variables to discern the nature of the relationship. 
A) there is adequate support for the null hypothesis. 
B) there is no association between the two nominally scaled variables. 
C) there is only a 2 percent chance that the two nominally scaled variables are systematically related. 
D) there is a significant association between the two nominally scaled variables,and this information alone is adequate to explain the nature of the association. 
E) there is a significant association between the two nominally scaled variables,but this information alone is a "flag" that we need to look more closely at the variables to discern the nature of the relationship.

Question 10

The four basic types of relationships between two variables are:

Accepted Answer

A) a non-monotonic,duotonic,linear,and curvilinear. 
B) nonmonotonic,duotonic,sublinear,and curvilinear. 
C) nonmonotonic,monotonic,linear,and curvilinear. 
D) causal,consistent,systematic,and linear. 
E) duotonic,linear,sublinear,and alinear. 
A) a non-monotonic,duotonic,linear,and curvilinear. 
B) nonmonotonic,duotonic,sublinear,and curvilinear. 
C) nonmonotonic,monotonic,linear,and curvilinear. 
D) causal,consistent,systematic,and linear. 
E) duotonic,linear,sublinear,and alinear.

Question 11

Which of the following is NOT a number that can be found in each cross-classification table cell?

Accepted Answer

A) frequency 
B) raw percentage 
C) column percentage 
D) overall percentage 
E) row percentage 
A) frequency 
B) raw percentage 
C) column percentage 
D) overall percentage 
E) row percentage

Question 12

The SPSS command used to execute the Pearson product moment correlation is: ANALYZE;CORRELATE;BIVARIATE.

Accepted Answer

A) True 
 B)False

Question 13

The degrees of freedom in chi-square are calculated by multiplying the rows,minus one times the columns,minus one.

Accepted Answer

A) True 
 B)False

Question 14

You are an officer in your college's Student Marketing Association.You are looking for ways to ensure that members will join again the following year.Students tend to join for one semester or one year and then drop out.You decide to take a simple random sample of this year's members and give them a survey.One of the questions asks: Will you join the SMA next semester? Yes,No,Don't Know.Another question asks respondents to check all the following that they feel provides them with "value" by virtue of being in the SMA: free food at meetings,getting to socialize in a relaxed setting with fellow classmates,learning about businesses through the guest speaker program,getting job search information through the organization's "Career Search" program,and getting to know your professors on a more personal basis.You want to know which of these are related to whether or not students will join the SMA in the next semester.What analysis should you run?

Accepted Answer

A) Pearson product moment correlation analysis 
B) independent samples t tests 
C) cross-tabulation 
D) cross-tabulation with chi-square tests 
E) paired samples tabulation analysis 
A) Pearson product moment correlation analysis 
B) independent samples t tests 
C) cross-tabulation 
D) cross-tabulation with chi-square tests 
E) paired samples tabulation analysis

Question 15

When the descriptors on a scale measure levels or amounts (i.e. ,the level of sales dollars),the scale is metric (interval or ratio).

Accepted Answer

A) True 
 B)False

Question 16

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

Accepted Answer

A) True 
 B)False

Question 17

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 18

When a scale has "labels" as opposed to "levels," we can normally assume the level of measurement is:

Accepted Answer

A) nominal or categorical. 
B) ratio. 
C) interval or ordinal. 
D) interval or ratio. 
E) metric. 
A) nominal or categorical. 
B) ratio. 
C) interval or ordinal. 
D) interval or ratio. 
E) metric.

Question 19

In order to run a chi-square test using SPSS,the proper command sequence is:

Accepted Answer

A) ANALYZE;CHI-SQUARE;GO. 
B) ANALYZE;SUMMARIZE;CROSSTABS;CHI-SQUARE. 
C) ASSOCIATIONS;NONMONO;CHI-SQUARE. 
D) ANALYZE;DESCRIPTIVE STATISTICS;CROSSTABS. 
E) ASSOCIATIONS;STATISTICS;CROSSTABS. 
A) ANALYZE;CHI-SQUARE;GO. 
B) ANALYZE;SUMMARIZE;CROSSTABS;CHI-SQUARE. 
C) ASSOCIATIONS;NONMONO;CHI-SQUARE. 
D) ANALYZE;DESCRIPTIVE STATISTICS;CROSSTABS. 
E) ASSOCIATIONS;STATISTICS;CROSSTABS.

Question 20

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

The chi-square test is useful for determining:

Which type of relationship is a "straight-line" relationship between two variables and for which allows us to know the knowledge of one variable if we have knowledge of the other?

The characteristic of direction,in describing the relationship between two variables,is applicable only when the relationship is either monotonic or linear.

Associative analysis procedures are useful because they determine if there is a consistent and systematic relationship between the presence (label)or amount of one variable and the:

When we present findings on cross-tabulations with chi-square analysis,we cannot use the characteristics of direction or strength because we are dealing with categorical,or nominal scaled,variables.

If we were to graph two variables,let's say,height (in inches)and GPA,and the graph showed points scattered about in a formless shape,we could say there is:

If we run the chi-square test and we get a .02 level of significance to support the null hypothesis,this means:

The four basic types of relationships between two variables are:

Which of the following is NOT a number that can be found in each cross-classification table cell?

The SPSS command used to execute the Pearson product moment correlation is: ANALYZE;CORRELATE;BIVARIATE.

The degrees of freedom in chi-square are calculated by multiplying the rows,minus one times the columns,minus one.

When the descriptors on a scale measure levels or amounts (i.e. ,the level of sales dollars),the scale is metric (interval or ratio).

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

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)?

When a scale has "labels" as opposed to "levels," we can normally assume the level of measurement is:

In order to run a chi-square test using SPSS,the proper command sequence is:

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.

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

The chi-square test is useful for determining:

Which type of relationship is a "straight-line" relationship between two variables and for which allows us to know the knowledge of one variable if we have knowledge of the other?

The characteristic of direction,in describing the relationship between two variables,is applicable only when the relationship is either monotonic or linear.

Associative analysis procedures are useful because they determine if there is a consistent and systematic relationship between the presence (label)or amount of one variable and the:

When we present findings on cross-tabulations with chi-square analysis,we cannot use the characteristics of direction or strength because we are dealing with categorical,or nominal scaled,variables.

If we were to graph two variables,let's say,height (in inches)and GPA,and the graph showed points scattered about in a formless shape,we could say there is:

If we run the chi-square test and we get a .02 level of significance to support the null hypothesis,this means:

The four basic types of relationships between two variables are:

Which of the following is NOT a number that can be found in each cross-classification table cell?

The SPSS command used to execute the Pearson product moment correlation is: ANALYZE;CORRELATE;BIVARIATE.

The degrees of freedom in chi-square are calculated by multiplying the rows,minus one times the columns,minus one.

When the descriptors on a scale measure levels or amounts (i.e. ,the level of sales dollars),the scale is metric (interval or ratio).

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

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)?

When a scale has "labels" as opposed to "levels," we can normally assume the level of measurement is:

In order to run a chi-square test using SPSS,the proper command sequence is:

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.

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