Exam 17: Testing for Differences Between Two Groups or Among More Than

One of the reasons that all statistically significant differences may not be meaningful is that, to a great extent, statistical significance is determined by:

(Multiple Choice)

4.8/5

(74)

Question 21

The word variance in the name analysis of variance is misleading.

(True/False)

4.9/5

(74)

Question 22

If you want to determine the mean score on a research question measuring whether likelihood to purchase a new product differs between respondents in two separate income groups, you would use the independent samples t test.

(True/False)

4.7/5

(85)

Question 23

The assumption of equal variances between two samples for differences testing, is evaluated by:

(Multiple Choice)

4.9/5

(78)

Question 24

An astute marketer will realize that is impossible to customize the marketing mix to each target market's unique situation.

(True/False)

4.9/5

(90)

Question 25

When making a comparison between two groups of respondents to determine whether or not they are statistically different, in concept, the researcher is considering the two groups as two:

(Multiple Choice)

4.9/5

(75)

Question 26

As long as different, independent samples are being tested, it is appropriate to run the paired samples test for the differences between two means on one sample's mean height (measured in feet/inches), versus another sample's mean weight (measured in pounds/ounces).

(True/False)

4.8/5

(75)

Question 27

Which of the following SPSS commands is used to run ANOVA?

(Multiple Choice)

4.7/5

(79)

Question 28

Which of the following is NOT part of the advantages that ANOVA has over performing multiple t tests of the significance of the differences between means?

(Multiple Choice)

4.8/5

(82)

Question 29

The statistical significance "flag" in SPSS is called the p value by statisticians and is denoted with "significance" or "probability" or their abbreviations.

(True/False)

5.0/5

(83)

Question 30

When a computed z value (for a test for differences between two percentages), 4.21, is larger than the standard z value, 1.96, then this amounts to:

(Multiple Choice)

4.9/5

(86)

Question 31

When we test for the differences between two groups, the null hypothesis is that the difference in the two groups' population parameters is more than 30.

(True/False)

4.8/5

(65)

Question 32

In the independent samples t test, Levene's test determines whether the variances between the two samples are approximately equal.

(True/False)

4.9/5

(67)

Question 33

Suppose Hershey's chocolate managers wanted to test for differences between usage of coupons among different combinations of two or more grouping variables, such as age groups and occupation groups. The appropriate procedure to test for differences among the means of these groups would be:

(Multiple Choice)

4.7/5

(78)

Question 34

We have two percentages and we want to know if they are statistically different. We calculate our z and find that it is 4.21. This means:

(Multiple Choice)

4.8/5

(93)

Question 35

Let's say we wanted to see if there was a significant difference between your class's mean GPA when you were all freshmen and your class's mean GPA today. What is the proper SPSS command that you would use to test this difference?

(Multiple Choice)

4.7/5

(93)

Question 36

The formula for calculating the difference between two percentages calculates a z value.

(True/False)

4.8/5

(71)

Question 37

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.

(True/False)

4.8/5

(62)

Question 38

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

(True/False)

4.9/5

(78)

Question 39

ANOVA's null hypothesis is that no single pair of means is significantly different.

(True/False)

4.9/5

(85)

Question 40

Showing 21 - 40 of 70

One of the reasons that all statistically significant differences may not be meaningful is that, to a great extent, statistical significance is determined by:

The word variance in the name analysis of variance is misleading.

If you want to determine the mean score on a research question measuring whether likelihood to purchase a new product differs between respondents in two separate income groups, you would use the independent samples t test.

The assumption of equal variances between two samples for differences testing, is evaluated by:

An astute marketer will realize that is impossible to customize the marketing mix to each target market's unique situation.

When making a comparison between two groups of respondents to determine whether or not they are statistically different, in concept, the researcher is considering the two groups as two:

As long as different, independent samples are being tested, it is appropriate to run the paired samples test for the differences between two means on one sample's mean height (measured in feet/inches), versus another sample's mean weight (measured in pounds/ounces).

Which of the following SPSS commands is used to run ANOVA?

Which of the following is NOT part of the advantages that ANOVA has over performing multiple t tests of the significance of the differences between means?

The statistical significance "flag" in SPSS is called the p value by statisticians and is denoted with "significance" or "probability" or their abbreviations.

When a computed z value (for a test for differences between two percentages), 4.21, is larger than the standard z value, 1.96, then this amounts to:

When we test for the differences between two groups, the null hypothesis is that the difference in the two groups' population parameters is more than 30.

In the independent samples t test, Levene's test determines whether the variances between the two samples are approximately equal.

Suppose Hershey's chocolate managers wanted to test for differences between usage of coupons among different combinations of two or more grouping variables, such as age groups and occupation groups. The appropriate procedure to test for differences among the means of these groups would be:

We have two percentages and we want to know if they are statistically different. We calculate our z and find that it is 4.21. This means:

Let's say we wanted to see if there was a significant difference between your class's mean GPA when you were all freshmen and your class's mean GPA today. What is the proper SPSS command that you would use to test this difference?

The formula for calculating the difference between two percentages calculates a z value.

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.

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

ANOVA's null hypothesis is that no single pair of means is significantly different.

Introduction to Marketing Research

The Marketing Research Process

The Marketing Research Industry

Defining the Problem and Determining Research Objectives

Research Design

Using Secondary Data and Online Information Databases

Standardized Information Sources

Observation, Focus Groups, and Other Qualitative Methods

Survey Data-Collection Methods

Measurement in Marketing Research

Designing the Questionnaire

Determining How to Select the Sample

Determining the Size of a Sample

Data Collection in the Field, Nonresponse Error, and Questionnaire Screening

Basic Data Analysis: Descriptive Statistics

Generalizing a Sample's Findings to its Population and Testing Hypotheses About Percents and Means

Determining and Interpreting Associations Among Variables

Regression Analysis in Marketing Research

The Marketing Research Report: Preparation and Presentation

Filters