Question 1

Researchers can misuse and abuse the concept of significance, if they associate statistical significance with the magnitude of the result.

Accepted Answer

A) True 
 B)False  True

Question 2

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.

Accepted Answer

A) True 
 B)False  False

Question 3

Which of the following does NOT reflect the discussion around the use of ANOVA in your textbook?

Accepted Answer

A)  ANOVA uses the f test statistic 
B)  ANOVA is a very efficient, convenient analysis when comparing 3 or more averages, over multiple two group tests. 
C)  ANOVA's null hypothesis is that none of all the possible group-to-group averages is significantly different. 
D)  When the null hypothesis is not supported, follow-up analysis must be applied to identify where the significant differences are found. 
E)  The alternative hypothesis is that at least two pair of averages is significantly different. 
A)  ANOVA uses the f test statistic 
B)  ANOVA is a very efficient, convenient analysis when comparing 3 or more averages, over multiple two group tests. 
C)  ANOVA's null hypothesis is that none of all the possible group-to-group averages is significantly different. 
D)  When the null hypothesis is not supported, follow-up analysis must be applied to identify where the significant differences are found. 
E)  The alternative hypothesis is that at least two pair of averages is significantly different. E

Question 4

A researcher only has access to the sample results when trying to determine whether or not there is a statistically significant difference between two groups. Therefore, the researcher:

Accepted Answer

A)  needs sample sizes of over 1000 to make the results meaningful. 
B)  should remove any surveys from the data where there are any item omissions. 
C)  must always ask a respondent to indicate their gender on a survey. 
D)  should have some hypotheses ready to test. 
E)  must fall back on statistical generalization concepts. 
A)  needs sample sizes of over 1000 to make the results meaningful. 
B)  should remove any surveys from the data where there are any item omissions. 
C)  must always ask a respondent to indicate their gender on a survey. 
D)  should have some hypotheses ready to test. 
E)  must fall back on statistical generalization concepts.

Question 5

A researcher may report a significant difference between variables but it is up to the manager alone to assess the practical usefulness of the difference.

Accepted Answer

A) True 
 B)False

Question 6

XL Data Analyst will report analysis of percentage differences tests in terms of t tests.

Accepted Answer

A) True 
 B)False

Question 7

If the null hypothesis is true, the distribution of difference with repeated samplings follows the normal curve, with an average equal to ____ and a standard error equal to ____.

Accepted Answer

A)  1; 0 
B)  1; 95% 
C)  0; 95% 
D)  0; 1 
E)  0; 0.05 
A)  1; 0 
B)  1; 95% 
C)  0; 95% 
D)  0; 1 
E)  0; 0.05

Question 8

In XL Data Analyst, the target variable is the variable on which the groups will be compared.

Accepted Answer

A) True 
 B)False

Question 9

When testing the differences between two percentages a metric variable is used.

Accepted Answer

A) True 
 B)False

Question 10

Determining if there is a difference between two groups on a categorical variable involves a z test if done manually and a t test if run with XL Data Analyst.

Accepted Answer

A) True 
 B)False

Question 11

Which of the following is NOT true of a differences test?

Accepted Answer

A)  With the null hypothesis, the arithmetic difference between one parameter and another is 0. 
B)  With both hypotheses, it is impossible to "guess" differences before testing. 
C)  With the null hypothesis, the statistical test begins with the assumption that the two percentages (or means) are exactly the same value. 
D)  The alternative hypothesis is that the two percentages (or means) are not the same value. 
E)  With the alternative hypothesis, the difference between parameters is not 0. 
A)  With the null hypothesis, the arithmetic difference between one parameter and another is 0. 
B)  With both hypotheses, it is impossible to "guess" differences before testing. 
C)  With the null hypothesis, the statistical test begins with the assumption that the two percentages (or means) are exactly the same value. 
D)  The alternative hypothesis is that the two percentages (or means) are not the same value. 
E)  With the alternative hypothesis, the difference between parameters is not 0.

Question 12

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

Accepted Answer

A) True 
 B)False

Question 13

Although there are separate differences tests for means versus percentages, all these test for differences between two or more values. As long as you have at least two percentages or two means, any one test will be appropriate.

Accepted Answer

A) True 
 B)False

Question 14

When comparing the average of one variable to the average of another variable it is important to ensure the variables:

Accepted Answer

A)  have the same number of responses. 
B)  come from different groups. 
C)  are measured on the same scale. 
D)  come from different studies. 
E)  come from the same group but at different points in time; time series data. 
A)  have the same number of responses. 
B)  come from different groups. 
C)  are measured on the same scale. 
D)  come from different studies. 
E)  come from the same group but at different points in time; time series data.

Question 15

XL Data Analyst uses a z test to test for differences between two variables within one group.

Accepted Answer

A) True 
 B)False

Question 16

Rebecca Sims is the general manager of a chain of auto parts stores. There are 400 stores in the country and they are divided up into seven divisions based upon geography. Each division has a division manager. The firm prides itself on keeping close tabs on customer satisfaction, and Rebecca has decided to take a sample of the 400 to test a new surrogate measure of customer satisfaction; the dollar value of returned merchandise. Each sample store reports daily the dollar value of merchandise returned and an average is calculated for each division. When Rebecca sees the first set of results, she wants to know if the differences between the division means are real or due to sampling error. Rebecca should use which test?

Accepted Answer

A)  a z test of the difference between two percentages 
B)  independent samples t test 
C)  paired samples t test 
D)  ANOVA 
E)  a division differences test 
A)  a z test of the difference between two percentages 
B)  independent samples t test 
C)  paired samples t test 
D)  ANOVA 
E)  a division differences test

Question 17

A winery sees the market in three distinct segments based upon usage of wine; a dog food manufacturer sees the dog food market in 12 segments; Toyota offers 17 different models ranging from a two-seater sports car to the Avalon luxury car. These are all examples illustrating how:

Accepted Answer

A)  marketers can take advantage of differences between market segments, simply by a conceptual analysis of differences in the marketplace. 
B)  marketers should search for all differences between each of their products or services. 
C)  marketers could take better advantage of differences between market segments if they had a method of determining insignificant differences in the marketplace. 
D)  marketers can take advantages of differences between market segments, and differences analysis can be used to discovery statistically significant, meaningful, and stable differences. 
E)  there are differences in the market, and by knowing statistical methods that focus on data summarization, marketers can take advantage of these differences. 
A)  marketers can take advantage of differences between market segments, simply by a conceptual analysis of differences in the marketplace. 
B)  marketers should search for all differences between each of their products or services. 
C)  marketers could take better advantage of differences between market segments if they had a method of determining insignificant differences in the marketplace. 
D)  marketers can take advantages of differences between market segments, and differences analysis can be used to discovery statistically significant, meaningful, and stable differences. 
E)  there are differences in the market, and by knowing statistical methods that focus on data summarization, marketers can take advantage of these differences.

Question 18

ANOVA's null hypothesis is that none of all the possible group-to-group averages is significantly different.

Accepted Answer

A) True 
 B)False

Question 19

Within one group, when significant differences between the averages of two variables such as ratings of importance are found, then the levels of the ratings are:

Accepted Answer

A)  indicating market segmentation opportunities. 
B)  indicating that product changes are required. 
C)  truly different in the population that the sample represents. 
D)  practically significant. 
E)  equally significant to the company. 
A)  indicating market segmentation opportunities. 
B)  indicating that product changes are required. 
C)  truly different in the population that the sample represents. 
D)  practically significant. 
E)  equally significant to the company.

Question 20

There are different statistical tests for testing for differences between means, and, differences between percentages.

Accepted Answer

A) True 
 B)False

Researchers can misuse and abuse the concept of significance, if they associate statistical significance with the magnitude of the result.

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.

Which of the following does NOT reflect the discussion around the use of ANOVA in your textbook?

A researcher only has access to the sample results when trying to determine whether or not there is a statistically significant difference between two groups. Therefore, the researcher:

A researcher may report a significant difference between variables but it is up to the manager alone to assess the practical usefulness of the difference.

XL Data Analyst will report analysis of percentage differences tests in terms of t tests.

If the null hypothesis is true, the distribution of difference with repeated samplings follows the normal curve, with an average equal to and a standard error equal to .

In XL Data Analyst, the target variable is the variable on which the groups will be compared.

When testing the differences between two percentages a metric variable is used.

Determining if there is a difference between two groups on a categorical variable involves a z test if done manually and a t test if run with XL Data Analyst.

Which of the following is NOT true of a differences test?

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

Although there are separate differences tests for means versus percentages, all these test for differences between two or more values. As long as you have at least two percentages or two means, any one test will be appropriate.

When comparing the average of one variable to the average of another variable it is important to ensure the variables:

XL Data Analyst uses a z test to test for differences between two variables within one group.

A winery sees the market in three distinct segments based upon usage of wine; a dog food manufacturer sees the dog food market in 12 segments; Toyota offers 17 different models ranging from a two-seater sports car to the Avalon luxury car. These are all examples illustrating how:

ANOVA's null hypothesis is that none of all the possible group-to-group averages is significantly different.

Within one group, when significant differences between the averages of two variables such as ratings of importance are found, then the levels of the ratings are:

There are different statistical tests for testing for differences between means, and, differences between percentages.

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

Researchers can misuse and abuse the concept of significance, if they associate statistical significance with the magnitude of the result.

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.

Which of the following does NOT reflect the discussion around the use of ANOVA in your textbook?

A researcher only has access to the sample results when trying to determine whether or not there is a statistically significant difference between two groups. Therefore, the researcher:

A researcher may report a significant difference between variables but it is up to the manager alone to assess the practical usefulness of the difference.

XL Data Analyst will report analysis of percentage differences tests in terms of t tests.

If the null hypothesis is true, the distribution of difference with repeated samplings follows the normal curve, with an average equal to ____ and a standard error equal to ____.

In XL Data Analyst, the target variable is the variable on which the groups will be compared.

When testing the differences between two percentages a metric variable is used.

Determining if there is a difference between two groups on a categorical variable involves a z test if done manually and a t test if run with XL Data Analyst.

Which of the following is NOT true of a differences test?

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

Although there are separate differences tests for means versus percentages, all these test for differences between two or more values. As long as you have at least two percentages or two means, any one test will be appropriate.

When comparing the average of one variable to the average of another variable it is important to ensure the variables:

XL Data Analyst uses a z test to test for differences between two variables within one group.

A winery sees the market in three distinct segments based upon usage of wine; a dog food manufacturer sees the dog food market in 12 segments; Toyota offers 17 different models ranging from a two-seater sports car to the Avalon luxury car. These are all examples illustrating how:

ANOVA's null hypothesis is that none of all the possible group-to-group averages is significantly different.

Within one group, when significant differences between the averages of two variables such as ratings of importance are found, then the levels of the ratings are:

There are different statistical tests for testing for differences between means, and, differences between percentages.

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

If the null hypothesis is true, the distribution of difference with repeated samplings follows the normal curve, with an average equal to and a standard error equal to .