Question 1

Discuss the most commonly used descriptive statistics.

Accepted Answer

The most commonly used descriptive stati

Question 2

A(n)______________is a bar chart that is based on information from a frequency count.

Accepted Answer

The answer of A(n)______________is a bar chart that is based...

Question 3

Refer to Scenario 17.3. What would be the expected number of running suits made of fabric B sold during the first three months based on past years' sales results of sweatshirts?

Accepted Answer

A)  3,500 
B)  1,190 
C)  4,410 
D)  4,500 
E)  None of the above 
A)  3,500 
B)  1,190 
C)  4,410 
D)  4,500 
E)  None of the above

Question 4

Which of the following is FALSE about the use of percentages when reporting results?

Accepted Answer

A)  Unless decimals have a special purpose, they should be omitted. 
B)  Percentages should be rounded to whole numbers. 
C)  Decimals may convey greater accuracy than the figures can support. 
D)  It is unnecessary and redundant to include percentages along with the raw count for frequency analyses. 
E)  All of the above are true concerning the use of percentages when reporting results. 
A)  Unless decimals have a special purpose, they should be omitted. 
B)  Percentages should be rounded to whole numbers. 
C)  Decimals may convey greater accuracy than the figures can support. 
D)  It is unnecessary and redundant to include percentages along with the raw count for frequency analyses. 
E)  All of the above are true concerning the use of percentages when reporting results.

Question 5

Which of the following would NOT be an example of a situation involving univariate analysis?

Accepted Answer

A)  A publisher of a magazine is interested in determining what proportion of the magazine's readers is male. 
B)  A restaurant would like to know the average income of its typical diner. 
C)  A car dealership is particularly interested in whether or not people who own vans are more or less likely to finance auto purchases compared with people who don't own vans. 
D)  A service provider needs to know her customer's average level of satisfaction with the services provided. 
E)  All of the above are examples for which univariate analysis could be performed. 
A)  A publisher of a magazine is interested in determining what proportion of the magazine's readers is male. 
B)  A restaurant would like to know the average income of its typical diner. 
C)  A car dealership is particularly interested in whether or not people who own vans are more or less likely to finance auto purchases compared with people who don't own vans. 
D)  A service provider needs to know her customer's average level of satisfaction with the services provided. 
E)  All of the above are examples for which univariate analysis could be performed.

Question 6

For which of the following types of measures does the mean NOT provide a meaningful value?

Accepted Answer

A)  Ratio 
B)  Equal-interval scales 
C)  Interval 
D)  Ordinal 
E)  Continuous measures 
A)  Ratio 
B)  Equal-interval scales 
C)  Interval 
D)  Ordinal 
E)  Continuous measures

Question 7

In using percentages for reporting results it is reasonable to report percentages to two decimal places.

Accepted Answer

A) True 
 B)False

Question 8

Refer to Scenario 17.4.   The median split for this sample is

Accepted Answer

A)  100. 
B)  110. 
C)  200. 
D)  220. 
E)  There is not enough information to determine the median split. 
A)  100. 
B)  110. 
C)  200. 
D)  220. 
E)  There is not enough information to determine the median split.

Question 9

Refer to Scenario 17.2. Using the data provided, the calculated value of χ2 =

Accepted Answer

A)  0.883 
B)  36.30 
C)  11.95 
D)  -0.542 
E)  Not enough information is provided to calculate the value. 
A)  0.883 
B)  36.30 
C)  11.95 
D)  -0.542 
E)  Not enough information is provided to calculate the value.

Question 10

A researcher calculates a chi­square test statistic of 8.56. At α = .05 and ν = 3, the critical value of the chi­square statistic is 7.81. What is the appropriate statistical conclusion?

Accepted Answer

A)  Reject the null hypothesis. 
B)  Can't determine; not enough information given. 
C)  Fail to reject the null hypothesis. 
D)  Reject the alternative hypothesis. 
E)  Conclude that the null hypothesis is true. 
A)  Reject the null hypothesis. 
B)  Can't determine; not enough information given. 
C)  Fail to reject the null hypothesis. 
D)  Reject the alternative hypothesis. 
E)  Conclude that the null hypothesis is true.

Question 11

The more confidence we want to have in the interval estimate, the larger the sample size should be.

Accepted Answer

A) True 
 B)False

Question 12

Refer to Scenario 17.3. What is the value of the test statistic useful for determining how well the pattern of sales (by fabric type) of the new running suit corresponds to the expected pattern?

Accepted Answer

A)  136.21 
B)  584.81 
C)  0.973 
D)  422.13 
E)  None of the above. 
A)  136.21 
B)  584.81 
C)  0.973 
D)  422.13 
E)  None of the above.

Question 13

An observation so different in magnitude from the rest of the observations that the analyst chooses to treat it as a special case is______________called a(n) _.

Accepted Answer

The answer of An observation so different in magnitude from...

Question 14

Because______________and______________measures are similar when it comes to analysis, many researchers refer to both types as continuous measures.

Accepted Answer

A)  interval, ratio 
B)  nominal, interval 
C)  ordinal, ratio 
D)  nominal, ordinal 
E)  ratio, nominal 
A)  interval, ratio 
B)  nominal, interval 
C)  ordinal, ratio 
D)  nominal, ordinal 
E)  ratio, nominal

Question 15

Both nominal and ordinal measures are easily used to group respondents or objects into groups or categories.

Accepted Answer

A) True 
 B)False

Question 16

For which of the following is frequency analysis NOT useful?

Accepted Answer

A)  Understanding the relationship between two variables 
B)  Communicating the results of a study 
C)  Determining the degree of item nonresponse 
D)  Locating blunders 
E)  Locating outliers 
A)  Understanding the relationship between two variables 
B)  Communicating the results of a study 
C)  Determining the degree of item nonresponse 
D)  Locating blunders 
E)  Locating outliers

Question 17

Refer to Scenario 17.4:   The estimated value of the standard error of the mean is

Accepted Answer

A)  2.6. 
B)  3.0. 
C)  1.6. 
D)  0.6. 
E)  0.9. 
A)  2.6. 
B)  3.0. 
C)  1.6. 
D)  0.6. 
E)  0.9.

Question 18

Refer to Scenario 17.1. What is the modal number of televisions owned by the households in the sample?

Accepted Answer

A)  2 
B)  More than 3 
C)  1 
D)  3 
E)  Can't be determined from the table. 
A)  2 
B)  More than 3 
C)  1 
D)  3 
E)  Can't be determined from the table.

Question 19

A sample mean is compared against a standard for a large sample. Now, assume the sample mean was found to equal 40. What is the appropriate confidence interval? (Note: Round to the nearest whole number.)

Accepted Answer

A)  23 < μ < 57 
B)  Can't be determined from the information given. 
C)  14 < μ < 66 
D)  38 < μ < 42 
E)  20 < μ < 60 
A)  23 < μ < 57 
B)  Can't be determined from the information given. 
C)  14 < μ < 66 
D)  38 < μ < 42 
E)  20 < μ < 60

Question 20

To calculate sampling error for a proportion, which of the following pieces of information is NOT needed?

Accepted Answer

A)  The z-score representing the desired degree of confidence. 
B)  The number of valid cases overall for the proportion. 
C)  The sample standard deviation. 
D)  The relevant proportion obtained from the sample. 
E)  All of the above are relevant and necessary pieces of information for the calculation of sampling error for a proportion. 
A)  The z-score representing the desired degree of confidence. 
B)  The number of valid cases overall for the proportion. 
C)  The sample standard deviation. 
D)  The relevant proportion obtained from the sample. 
E)  All of the above are relevant and necessary pieces of information for the calculation of sampling error for a proportion.

Discuss the most commonly used descriptive statistics.

A(n)______________is a bar chart that is based on information from a frequency count.

Refer to Scenario 17.3. What would be the expected number of running suits made of fabric B sold during the first three months based on past years' sales results of sweatshirts?

Which of the following is FALSE about the use of percentages when reporting results?

Which of the following would NOT be an example of a situation involving univariate analysis?

For which of the following types of measures does the mean NOT provide a meaningful value?

In using percentages for reporting results it is reasonable to report percentages to two decimal places.

Refer to Scenario 17.4. The median split for this sample is

Refer to Scenario 17.2. Using the data provided, the calculated value of χ²=

A researcher calculates a chisquare test statistic of 8.56. At α = .05 and ν = 3, the critical value of the chisquare statistic is 7.81. What is the appropriate statistical conclusion?

The more confidence we want to have in the interval estimate, the larger the sample size should be.

Refer to Scenario 17.3. What is the value of the test statistic useful for determining how well the pattern of sales (by fabric type) of the new running suit corresponds to the expected pattern?

An observation so different in magnitude from the rest of the observations that the analyst chooses to treat it as a special case is______________called a(n) _.

Becauseandmeasures are similar when it comes to analysis, many researchers refer to both types as continuous measures.

Both nominal and ordinal measures are easily used to group respondents or objects into groups or categories.

For which of the following is frequency analysis NOT useful?

Refer to Scenario 17.4: The estimated value of the standard error of the mean is

Refer to Scenario 17.1. What is the modal number of televisions owned by the households in the sample?

A sample mean is compared against a standard for a large sample. Now, assume the sample mean was found to equal 40. What is the appropriate confidence interval? (Note: Round to the nearest whole number.)

To calculate sampling error for a proportion, which of the following pieces of information is NOT needed?

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems

Decision Support Systems Working With Big Data

Using External Secondary Data

Conducting Causal Research

Collecting Descriptive Primary Data

Collecting Data by Observation

Collecting Data by Communication

Asking Good Questions

Designing the Data Collection Form

Developing the Sampling Plan

Data Collection Enhancing Response Rates While Limiting Errors

Data Preparation for Analysis

Analysis and Interpretation Multiple Variables Simultaneously

The Oral Research Presentation

The Written Research Report

Filters

Exam 17: Analysis and Interpretation Individual Variables Independently

Discuss the most commonly used descriptive statistics.

A(n)______________is a bar chart that is based on information from a frequency count.

Refer to Scenario 17.3. What would be the expected number of running suits made of fabric B sold during the first three months based on past years' sales results of sweatshirts?

Which of the following is FALSE about the use of percentages when reporting results?

Which of the following would NOT be an example of a situation involving univariate analysis?

For which of the following types of measures does the mean NOT provide a meaningful value?

In using percentages for reporting results it is reasonable to report percentages to two decimal places.

Refer to Scenario 17.4. The median split for this sample is

Refer to Scenario 17.2. Using the data provided, the calculated value of χ2 =

A researcher calculates a chi­square test statistic of 8.56. At α = .05 and ν = 3, the critical value of the chi­square statistic is 7.81. What is the appropriate statistical conclusion?

The more confidence we want to have in the interval estimate, the larger the sample size should be.

Refer to Scenario 17.3. What is the value of the test statistic useful for determining how well the pattern of sales (by fabric type) of the new running suit corresponds to the expected pattern?

An observation so different in magnitude from the rest of the observations that the analyst chooses to treat it as a special case is______________called a(n) _.

Because______________and______________measures are similar when it comes to analysis, many researchers refer to both types as continuous measures.

Both nominal and ordinal measures are easily used to group respondents or objects into groups or categories.

For which of the following is frequency analysis NOT useful?

Refer to Scenario 17.4: The estimated value of the standard error of the mean is

Refer to Scenario 17.1. What is the modal number of televisions owned by the households in the sample?

A sample mean is compared against a standard for a large sample. Now, assume the sample mean was found to equal 40. What is the appropriate confidence interval? (Note: Round to the nearest whole number.)

To calculate sampling error for a proportion, which of the following pieces of information is NOT needed?

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems

Decision Support Systems Working With Big Data

Using External Secondary Data

Conducting Causal Research

Collecting Descriptive Primary Data

Collecting Data by Observation

Collecting Data by Communication

Asking Good Questions

Designing the Data Collection Form

Developing the Sampling Plan

Data Collection Enhancing Response Rates While Limiting Errors

Data Preparation for Analysis

Analysis and Interpretation Multiple Variables Simultaneously

The Oral Research Presentation

The Written Research Report

Filters

Refer to Scenario 17.2. Using the data provided, the calculated value of χ²=

A researcher calculates a chisquare test statistic of 8.56. At α = .05 and ν = 3, the critical value of the chisquare statistic is 7.81. What is the appropriate statistical conclusion?

Becauseandmeasures are similar when it comes to analysis, many researchers refer to both types as continuous measures.