Question 1

Which variable is often used by marketers to segment their market?

Accepted Answer

A)  gender 
B)  geography 
C)  religion 
D)  age 
E)  height 
A)  gender 
B)  geography 
C)  religion 
D)  age 
E)  height

Question 2

Directional hypotheses are also feasible in the case of tests of statistically significant differences. The only difference is:

Accepted Answer

A)  ignore the sign of the z value because we are only looking for a significant difference; the size of the z value. 
B)  that the z value for 95% is 1.64 and for 99% is 2.33. 
C)  we need to not only look at the z value but the sign to ensure the direction. 
D)  that the alternative hypothesis is called the directional hypothesis. 
E)  the null hypothesis states the opposite direction of difference to what the directional hypothesis is proposing. 
A)  ignore the sign of the z value because we are only looking for a significant difference; the size of the z value. 
B)  that the z value for 95% is 1.64 and for 99% is 2.33. 
C)  we need to not only look at the z value but the sign to ensure the direction. 
D)  that the alternative hypothesis is called the directional hypothesis. 
E)  the null hypothesis states the opposite direction of difference to what the directional hypothesis is proposing.

Question 3

In order to be potentially useful for a marketing manager, differences must be:

Accepted Answer

A)  at least at a ratio of 2 to 1. 
B)  statistically significant. 
C)  new and not part of existing knowledge. 
D)  at least at a ratio of 10 to 1. 
E)  measurable. 
A)  at least at a ratio of 2 to 1. 
B)  statistically significant. 
C)  new and not part of existing knowledge. 
D)  at least at a ratio of 10 to 1. 
E)  measurable.

Question 4

When testing for differences, a manager must first determine if the differences are meaningful and then act on the differences. Only then should he or she decide if the differences are significantly different.

Accepted Answer

A) True 
 B)False

Question 5

Which of the following commands would be used to test for the significant differences between two percentages using XL Data Analyst?

Accepted Answer

A)  "Summarize," "2 Group Averages," select two target variables, then select one grouping variable, and "OK" 
B)  "Compare," "2 Group Averages," select two grouping variables, and "OK" 
C)  "Compare," "2 Group Averages," select two target variables, and "OK" 
D)  "Summarize," "2 Group Averages," select two grouping variables, then select one target variable, and "OK" 
E)  "Compare," "2 Group Averages," select two grouping variables, then select one target variable, and "OK" 
A)  "Summarize," "2 Group Averages," select two target variables, then select one grouping variable, and "OK" 
B)  "Compare," "2 Group Averages," select two grouping variables, and "OK" 
C)  "Compare," "2 Group Averages," select two target variables, and "OK" 
D)  "Summarize," "2 Group Averages," select two grouping variables, then select one target variable, and "OK" 
E)  "Compare," "2 Group Averages," select two grouping variables, then select one target variable, and "OK"

Question 6

The search for differences in the averages of more than two groups translates into:

Accepted Answer

A)  running multiple ANOVA tests. 
B)  running multiple tests for differences of averages. 
C)  partitioning a large market into a number of market segments. 
D)  deciding on which two groups to analyze first as multiple paired comparisons are required. 
E)  searching for practical significance over statistical significance. 
A)  running multiple ANOVA tests. 
B)  running multiple tests for differences of averages. 
C)  partitioning a large market into a number of market segments. 
D)  deciding on which two groups to analyze first as multiple paired comparisons are required. 
E)  searching for practical significance over statistical significance.

Question 7

The analysis of variance, ANOVA, is a misleading term because:

Accepted Answer

A)  it is an analysis of the differences between the standard deviations of groups and not the variances. 
B)  variance is a singular term implying looking at one group, whereas ANOVA takes multiple groups into is analysis. 
C)  it is not an analysis of the difference between the standard deviations of groups but of the differences between the averages of groups. 
D)  analysis implies that results are absolute, without error, and there is always some measureable error in statistical analysis. 
E)  analysis implies practical as well as statistical significance. 
A)  it is an analysis of the differences between the standard deviations of groups and not the variances. 
B)  variance is a singular term implying looking at one group, whereas ANOVA takes multiple groups into is analysis. 
C)  it is not an analysis of the difference between the standard deviations of groups but of the differences between the averages of groups. 
D)  analysis implies that results are absolute, without error, and there is always some measureable error in statistical analysis. 
E)  analysis implies practical as well as statistical significance.

Question 8

Market segmentation holds that different types of consumers have different requirements.

Accepted Answer

A) True 
 B)False

Question 9

If we wanted to test for the mean likelihood that shoppers will shop again in different departments such as home and garden versus sporting goods, versus automotive, versus electronics, we would use:

Accepted Answer

A)  a z test for differences between percentages 
B)  independent samples t test 
C)  paired samples t test 
D)  ANOVA 
E)  departmental means test 
A)  a z test for differences between percentages 
B)  independent samples t test 
C)  paired samples t test 
D)  ANOVA 
E)  departmental means test

Question 10

The only difference in the procedure for testing the significance of the difference between two averages versus testing the significance between two percentages is:

Accepted Answer

A)  testing for averages looks for differences in a metric variable and percentages looks for differences in a categorical variable. 
B)  testing averages require using the z value and percentages require using the p value. 
C)  testing averages requires a 99% level of confidence whereas a level of 95% is sufficient for testing percentages. 
D)  when testing for 95% level of confidence with averages the z value is 1.96 and for percentages it is 1.64. 
E)  testing averages requires two more steps than the testing with percentages. 
A)  testing for averages looks for differences in a metric variable and percentages looks for differences in a categorical variable. 
B)  testing averages require using the z value and percentages require using the p value. 
C)  testing averages requires a 99% level of confidence whereas a level of 95% is sufficient for testing percentages. 
D)  when testing for 95% level of confidence with averages the z value is 1.96 and for percentages it is 1.64. 
E)  testing averages requires two more steps than the testing with percentages.

Question 11

Let's assume there are freshman, seniors, and graduate students in your class and we want to know if their average GPAs differ. What is the proper statistical test?

Accepted Answer

A)  t test 
B)  Means differences test 
C)  Summarization of means test 
D)  ANOVA 
E)  z test 
A)  t test 
B)  Means differences test 
C)  Summarization of means test 
D)  ANOVA 
E)  z test

Question 12

The proper use of a differences test for two variables' averages requires that you select two metric variables that are measured with the same scale units.

Accepted Answer

A) True 
 B)False

Question 13

The search for differences among more than two groups translates into partitioning a large market into a number of market segments.

Accepted Answer

A) True 
 B)False

Question 14

Different tests are required to test the differences between the means of two samples depending upon whether or not the two samples are independent or are paired.

Accepted Answer

A) True 
 B)False

Question 15

p- ANOVA is a procedure that determines differences between three or more percentages.

Accepted Answer

A) True 
 B)False

Question 16

The procedure for testing the significance of the difference between two averages from two different groups (samples) is identical to the procedure used in testing two percentages.

Accepted Answer

A) True 
 B)False

Question 17

What are the steps used in XL Data Analyst to determine the significance of the difference among more than two group averages?

Accepted Answer

A)  "Compare," select a metric grouping variable, select a metric target variable, and "OK." 
B)  "Compare," select a categorical grouping variable, select a metric target variable, and "OK." 
C)  "ANOVA," select a categorical grouping variable, select a metric target variable, and "OK." 
D)  "ANOVA," select a metric grouping variable, select a metric target variable, and "OK." 
E)  "Compare," select a metric grouping variable, select a categorical target variable, and "OK." 
A)  "Compare," select a metric grouping variable, select a metric target variable, and "OK." 
B)  "Compare," select a categorical grouping variable, select a metric target variable, and "OK." 
C)  "ANOVA," select a categorical grouping variable, select a metric target variable, and "OK." 
D)  "ANOVA," select a metric grouping variable, select a metric target variable, and "OK." 
E)  "Compare," select a metric grouping variable, select a categorical target variable, and "OK."

Question 18

When testing the difference between two percentages from two independent samples, a z value larger than 1.96 indicates the difference is NOT significantly different.

Accepted Answer

A) True 
 B)False

Question 19

When testing for differences between two groups, if the computed z value at 99% confidence is 1.98 we can conclude that:

Accepted Answer

A)  we can reject the null hypothesis that there is no difference between the groups. 
B)  we can accept the null hypothesis that there is no difference between the groups. 
C)  there is a statistically significant difference between the two groups. 
D)  that there is a difference, but not a statistically significant one, between the two groups. 
E)  we need to run more tests because 1.98 is too close to the 1.96 z-value for 99% level of confidence. 
A)  we can reject the null hypothesis that there is no difference between the groups. 
B)  we can accept the null hypothesis that there is no difference between the groups. 
C)  there is a statistically significant difference between the two groups. 
D)  that there is a difference, but not a statistically significant one, between the two groups. 
E)  we need to run more tests because 1.98 is too close to the 1.96 z-value for 99% level of confidence.

Question 20

Research determines a statistical significant difference between cold remedy preferences depending on symptoms to be relieved. When the marketing manager markets several different remedies, each designed to reduce a different symptom, we can say the differences found in the research were also practically significant

Accepted Answer

A) True 
 B)False

Which variable is often used by marketers to segment their market?

Directional hypotheses are also feasible in the case of tests of statistically significant differences. The only difference is:

In order to be potentially useful for a marketing manager, differences must be:

When testing for differences, a manager must first determine if the differences are meaningful and then act on the differences. Only then should he or she decide if the differences are significantly different.

Which of the following commands would be used to test for the significant differences between two percentages using XL Data Analyst?

The search for differences in the averages of more than two groups translates into:

The analysis of variance, ANOVA, is a misleading term because:

Market segmentation holds that different types of consumers have different requirements.

If we wanted to test for the mean likelihood that shoppers will shop again in different departments such as home and garden versus sporting goods, versus automotive, versus electronics, we would use:

The only difference in the procedure for testing the significance of the difference between two averages versus testing the significance between two percentages is:

Let's assume there are freshman, seniors, and graduate students in your class and we want to know if their average GPAs differ. What is the proper statistical test?

The proper use of a differences test for two variables' averages requires that you select two metric variables that are measured with the same scale units.

The search for differences among more than two groups translates into partitioning a large market into a number of market segments.

Different tests are required to test the differences between the means of two samples depending upon whether or not the two samples are independent or are paired.

p- ANOVA is a procedure that determines differences between three or more percentages.

The procedure for testing the significance of the difference between two averages from two different groups (samples) is identical to the procedure used in testing two percentages.

What are the steps used in XL Data Analyst to determine the significance of the difference among more than two group averages?

When testing the difference between two percentages from two independent samples, a z value larger than 1.96 indicates the difference is NOT significantly different.

When testing for differences between two groups, if the computed z value at 99% confidence is 1.98 we can conclude that:

Introducing Marketing Research

The Marketing Research Process

Research Design

Using Secondary Data and Online Information Databases

Qualitative Research Methods

Quantitative Data Collection Methods

Survey Measurement Scales

Questionnaire Design

Sampling

Data Collection and Basic Descriptive Statistics

Population Estimates and Hypothesis Testing

Relationships Between Variables

Communicating the Research Results

Filters

Exam 12: Testing of Differences

Which variable is often used by marketers to segment their market?

Directional hypotheses are also feasible in the case of tests of statistically significant differences. The only difference is:

In order to be potentially useful for a marketing manager, differences must be:

When testing for differences, a manager must first determine if the differences are meaningful and then act on the differences. Only then should he or she decide if the differences are significantly different.

Which of the following commands would be used to test for the significant differences between two percentages using XL Data Analyst?

The search for differences in the averages of more than two groups translates into:

The analysis of variance, ANOVA, is a misleading term because:

Market segmentation holds that different types of consumers have different requirements.

If we wanted to test for the mean likelihood that shoppers will shop again in different departments such as home and garden versus sporting goods, versus automotive, versus electronics, we would use:

The only difference in the procedure for testing the significance of the difference between two averages versus testing the significance between two percentages is:

Let's assume there are freshman, seniors, and graduate students in your class and we want to know if their average GPAs differ. What is the proper statistical test?

The proper use of a differences test for two variables' averages requires that you select two metric variables that are measured with the same scale units.

The search for differences among more than two groups translates into partitioning a large market into a number of market segments.

Different tests are required to test the differences between the means of two samples depending upon whether or not the two samples are independent or are paired.

p- ANOVA is a procedure that determines differences between three or more percentages.

The procedure for testing the significance of the difference between two averages from two different groups (samples) is identical to the procedure used in testing two percentages.

What are the steps used in XL Data Analyst to determine the significance of the difference among more than two group averages?

When testing the difference between two percentages from two independent samples, a z value larger than 1.96 indicates the difference is NOT significantly different.

When testing for differences between two groups, if the computed z value at 99% confidence is 1.98 we can conclude that:

Introducing Marketing Research

The Marketing Research Process

Research Design

Using Secondary Data and Online Information Databases

Qualitative Research Methods

Quantitative Data Collection Methods

Survey Measurement Scales

Questionnaire Design

Sampling

Data Collection and Basic Descriptive Statistics

Population Estimates and Hypothesis Testing

Relationships Between Variables

Communicating the Research Results

Filters