Question 1

ANOVA is an efficient way to compare:

Accepted Answer

A) two groups averages 
B) two groups percentages 
C) three or more groups variances 
D) three or more groups averages 
E) three or more groups percentages 
A) two groups averages 
B) two groups percentages 
C) three or more groups variances 
D) three or more groups averages 
E) three or more groups percentages

Question 2

Which of the following is true of the word "variance" in analysis of variance?

Accepted Answer

A) It refers to differences between standard deviations. 
B) It is misleading. 
C) It is used to determine significance. 
D) It refers only to within variance. 
E) It is used because the test is designed to determine the differences between more than 4 variances. 
A) It refers to differences between standard deviations. 
B) It is misleading. 
C) It is used to determine significance. 
D) It refers only to within variance. 
E) It is used because the test is designed to determine the differences between more than 4 variances.

Question 3

What is the label for the output for comparing the averages on two variables among the same sample member?

Accepted Answer

A) Two Paired Variable Averages Differences Test Analysis Results 
B) Three Independent Variable Averages Differences Test Analysis Results 
C) Two Independent Variable Averages Differences Test Analysis Results 
D) all of the above are used; the output label changes depending on the variables tested 
E) none of the above are used; the output label is unknowable 
A) Two Paired Variable Averages Differences Test Analysis Results 
B) Three Independent Variable Averages Differences Test Analysis Results 
C) Two Independent Variable Averages Differences Test Analysis Results 
D) all of the above are used; the output label changes depending on the variables tested 
E) none of the above are used; the output label is unknowable

Question 4

In your XL Data Analyst output for ANOVA,an "Equal" notation means:

Accepted Answer

A) that there is a significant difference between the two averages 
B) that there is no support for the null hypothesis that the two group averages are equal 
C) the two groups were identical in that particular category 
D) there is no "Equal" notation in the ANOVA output 
E) an "Equal" notation has nothing to do with the difference in group averages 
A) that there is a significant difference between the two averages 
B) that there is no support for the null hypothesis that the two group averages are equal 
C) the two groups were identical in that particular category 
D) there is no "Equal" notation in the ANOVA output 
E) an "Equal" notation has nothing to do with the difference in group averages

Question 5

In your XL Data Analyst software,the test to determine the difference between the averages of two variables has output that reads: Two Paired Variable Averages Differences Test Analysis Results.

Accepted Answer

A) True 
 B)False

Question 6

If we wanted to know if there was a statistically significant difference between males and females on the average number of soft drinks they consumed during a week and our test calculated a z of 6.43,this would mean there was no difference in the average number of drinks consumed between the two groups.

Accepted Answer

A) True 
 B)False

Question 7

If a pharmaceuticals company was seeking to improve its cold remedy medication,a survey could be used to determine,"How important is it that your cold remedy relieves your ________?" using a 10-point scale of 1=not important to 10=very important for each of several cold symptoms such as "congestion," "cough," or "runny nose." The researcher would then want to look for significant differences between the averages of two ________.

Accepted Answer

A) groups 
B) z tests 
C) variables 
D) group differences 
E) hypothetical t values 
A) groups 
B) z tests 
C) variables 
D) group differences 
E) hypothetical t values

Question 8

A marketing researcher is always hoping for the null hypothesis to not be supported.

Accepted Answer

A) True 
 B)False

Question 9

When testing for the differences between two percentages,a computed z value that is larger than the critical z value (i.e.+or -1.96)amounts to no support for:

Accepted Answer

A) a significant difference 
B) the null hypothesis 
C) the alternative hypothesis 
D) null alternative 
E) none of the above 
A) a significant difference 
B) the null hypothesis 
C) the alternative hypothesis 
D) null alternative 
E) none of the above

Question 10

To test whether a true difference exists between two group percentages,we test the ________ that the difference in their population parameters is zero.

Accepted Answer

A) male female 
B) null parameter 
C) null parameter. 
D) null alternative 
E) all of the above 
A) male female 
B) null parameter 
C) null parameter. 
D) null alternative 
E) all of the above

Question 11

Because we have two samples when testing the significance of the difference between two percentages instead of the one that we worked with for a hypothesis test,the standard error term is calculated differently,called the standard error of the difference between two percentages.

Accepted Answer

A) True 
 B)False

Question 12

When comparing differences between the percentages of two groups and our z is 1.98 at the 95% level of confidence,we may conclude the two percentages are significantly different.

Accepted Answer

A) True 
 B)False

Question 13

ANOVA's ________ hypothesis is that none of all possible group-to-group averages is significantly different: that is,there is not one single significant difference that exists between any possible pair of groups.

Accepted Answer

A) alternative 
B) accurate 
C) null 
D) true 
E) independent 
A) alternative 
B) accurate 
C) null 
D) true 
E) independent

Question 14

When a marketing researcher compares two groups of respondents to determine whether or not there are statistically significant differences between them,the researcher is considering them to be two independent ________.

Accepted Answer

A) samples 
B) segments 
C) channels 
D) clusters 
E) populations 
A) samples 
B) segments 
C) channels 
D) clusters 
E) populations

Question 15

A statistically significant difference means:

Accepted Answer

A) there is practical significance 
B) the differences would remain in a large number of trials if we repeated the survey over many times 
C) the p values are very large 
D) the z values are very small 
E) the x values are average 
A) there is practical significance 
B) the differences would remain in a large number of trials if we repeated the survey over many times 
C) the p values are very large 
D) the z values are very small 
E) the x values are average

Question 16

If we wanted to know if there was a statistically significant difference between males and females on the average number of soft drinks they consumed during a week we would be testing for the difference between averages for two groups.

Accepted Answer

A) True 
 B)False

Question 17

ANOVA is not an analysis of the standard deviations of the groups.

Accepted Answer

A) True 
 B)False

Question 18

________ significance depends on whether or not there is a managerial application that uses the difference.

Accepted Answer

A) Practical 
B) Statistical 
C) Modest 
D) Critical 
E) Day-to-day 
A) Practical 
B) Statistical 
C) Modest 
D) Critical 
E) Day-to-day

Question 19

Which of the following marketing concepts is an important reason for analyzing differences?

Accepted Answer

A) new product development 
B) market segmentation 
C) channel of distribution strategy 
D) promotion mix 
E) product differentiation 
A) new product development 
B) market segmentation 
C) channel of distribution strategy 
D) promotion mix 
E) product differentiation

Question 20

When your XL Data Analyst compares the percentages of two groups and reports that the support for the hypothesis that the two percents are equal is Not Supported,this means:

Accepted Answer

A) the two percentages are equal 
B) there is no significant difference between the two percentages 
C) the percentages are the same but there is a difference between the groups 
D) the two percentages are significantly different 
E) the two percentages are average 
A) the two percentages are equal 
B) there is no significant difference between the two percentages 
C) the percentages are the same but there is a difference between the groups 
D) the two percentages are significantly different 
E) the two percentages are average

ANOVA is an efficient way to compare:

Which of the following is true of the word "variance" in analysis of variance?

What is the label for the output for comparing the averages on two variables among the same sample member?

In your XL Data Analyst output for ANOVA,an "Equal" notation means:

In your XL Data Analyst software,the test to determine the difference between the averages of two variables has output that reads: Two Paired Variable Averages Differences Test Analysis Results.

A marketing researcher is always hoping for the null hypothesis to not be supported.

When testing for the differences between two percentages,a computed z value that is larger than the critical z value (i.e.+or -1.96)amounts to no support for:

To test whether a true difference exists between two group percentages,we test the ________ that the difference in their population parameters is zero.

Because we have two samples when testing the significance of the difference between two percentages instead of the one that we worked with for a hypothesis test,the standard error term is calculated differently,called the standard error of the difference between two percentages.

When comparing differences between the percentages of two groups and our z is 1.98 at the 95% level of confidence,we may conclude the two percentages are significantly different.

ANOVA's ________ hypothesis is that none of all possible group-to-group averages is significantly different: that is,there is not one single significant difference that exists between any possible pair of groups.

When a marketing researcher compares two groups of respondents to determine whether or not there are statistically significant differences between them,the researcher is considering them to be two independent ________.

A statistically significant difference means:

If we wanted to know if there was a statistically significant difference between males and females on the average number of soft drinks they consumed during a week we would be testing for the difference between averages for two groups.

ANOVA is not an analysis of the standard deviations of the groups.

________ significance depends on whether or not there is a managerial application that uses the difference.

Which of the following marketing concepts is an important reason for analyzing differences?

When your XL Data Analyst compares the percentages of two groups and reports that the support for the hypothesis that the two percents are equal is Not Supported,this means:

An Introduction to Marketing Research

The Marketing Research Industry

The Marketing Research Process Including the Problem and Research Objectives

Research Design Alternatives and Qualitative Research

Information Types and Sources: Secondary Data and Standardized Information

Data Collection Methods

Measurement Scales

Designing Data Collection Forms

Determining Sample Size and the Sample Plan

Data Issues and Inputting Data Into Xl Data Analyst

Summarizing Your Data

Generalizing Your Findings

Determining Relationships

Preparing and Presenting Your Research Report

Filters

Exam 13: Finding Differences

ANOVA is an efficient way to compare:

Which of the following is true of the word "variance" in analysis of variance?

What is the label for the output for comparing the averages on two variables among the same sample member?

In your XL Data Analyst output for ANOVA,an "Equal" notation means:

In your XL Data Analyst software,the test to determine the difference between the averages of two variables has output that reads: Two Paired Variable Averages Differences Test Analysis Results.

A marketing researcher is always hoping for the null hypothesis to not be supported.

When testing for the differences between two percentages,a computed z value that is larger than the critical z value (i.e.+or -1.96)amounts to no support for:

To test whether a true difference exists between two group percentages,we test the ________ that the difference in their population parameters is zero.

Because we have two samples when testing the significance of the difference between two percentages instead of the one that we worked with for a hypothesis test,the standard error term is calculated differently,called the standard error of the difference between two percentages.

When comparing differences between the percentages of two groups and our z is 1.98 at the 95% level of confidence,we may conclude the two percentages are significantly different.

ANOVA's ________ hypothesis is that none of all possible group-to-group averages is significantly different: that is,there is not one single significant difference that exists between any possible pair of groups.

When a marketing researcher compares two groups of respondents to determine whether or not there are statistically significant differences between them,the researcher is considering them to be two independent ________.

A statistically significant difference means:

If we wanted to know if there was a statistically significant difference between males and females on the average number of soft drinks they consumed during a week we would be testing for the difference between averages for two groups.

ANOVA is not an analysis of the standard deviations of the groups.

________ significance depends on whether or not there is a managerial application that uses the difference.

Which of the following marketing concepts is an important reason for analyzing differences?

When your XL Data Analyst compares the percentages of two groups and reports that the support for the hypothesis that the two percents are equal is Not Supported,this means:

An Introduction to Marketing Research

The Marketing Research Industry

The Marketing Research Process Including the Problem and Research Objectives

Research Design Alternatives and Qualitative Research

Information Types and Sources: Secondary Data and Standardized Information

Data Collection Methods

Measurement Scales

Designing Data Collection Forms

Determining Sample Size and the Sample Plan

Data Issues and Inputting Data Into Xl Data Analyst

Summarizing Your Data

Generalizing Your Findings

Determining Relationships

Preparing and Presenting Your Research Report

Filters