,TESTBANK FOR Business Analytics Combining data,
analysis and judgement to inform decisions by
Mary Ellen Gordon
Notes
1- The file is chapter after chapter.
2- We have shown you few pages sample.
3- The file contains all Appendix and Excel sheet
if it exists.
4- We have all what you need, we make update
at every time. There are many new editions
waiting you.
5- If you think you purchased the wrong file You
can contact us at every time, we can replace it
with true one.
Our email:
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
Testbank
Chapter 1: How data and analytics can enhance human
decision-making in organizations
Pool 1
1. Which of the following is a question that could be answered with analytics?
a. Should we raise our prices?
b. Is it fair to charge more than some people who need our product can afford?
c. What proportion of our customers are likely to stop buying our product if we raise the
price?
d. If sustainability initiatives increase our costs, should we pass on those increases to our
customers?
Ans: C
2. Which of the following is a question that could be answered with analytics?
a. On average, do our employees who are men have higher salaries than our employees who
are not?
b. Should we take experience into account in setting pay rates or only skills?
c. Is it fair that some of our employees make much more than others?
d. Should we take diversity into account when making hiring decisions?
Ans: A
3. Which of the following is a question that could be answered with analytics?
a. Should we favour local suppliers in our procurement?
b. Does the proportion of deliveries that arrive later than expected vary by supplier?
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
c. Is it fair to require suppliers to have insurance that might be too expensive for small
businesses?
d. Should we require that our suppliers meet certain labour standards?
Ans: B
Pool 2
4. Which of the following is a question that cannot be answered with analytics?
a. What is our revenue predicted to be this year?
b. Is our revenue this year likely to be more than last year?
c. Is there an association between interest rates and the revenue we generate in a year?
d. Should we pay a greater dividend to our investors this year than we did last year?
Ans: D
5. Which of the following is a question that cannot be answered with analytics?
a. Are our customers more satisfied this year than they were last year?
b. Are our customers more satisfied than our competitors’ customers are?
c. Is there an association between how satisfied a customer is and how much they spend?
d. Should we compensate our salespeople based on customer satisfaction?
Ans: D
6. Which of the following is a question that cannot be answered with analytics?
a. Do workers on the night shift fulfil fewer orders per hour than workers on the day shift?
b. Do workers on the night shift make more mistakes fulfilling orders than workers on the
day shift?
c. Are there more injuries to workers on the night shift than to workers on the day shift?
d. Is it fair to make people work overnight on an ongoing basis?
Ans: D
Pool 3
7. Which of the following is an example of a population related to a company?
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
a. All employees of the company.
b. A sub-set of employees randomly selected to complete a survey.
c. The group of employees in the company cafeteria at a randomly selected time.
d. Employees who send comments about a new policy a company is considering.
Ans: A
8. Which of the following is an example of a population related to a university?
a. Students randomly selected to participate in a survey based on their student numbers.
b. All students enrolled at the university.
c. Every 10th student entering the library on randomly selected days.
d. A randomly selected set of 100 assignments used for quality assurance testing.
Ans: B
9. Which of the following is an example of a population related to Australia?
a. Every 100th Australian household.
b. A group of Australian residents randomly selected to participate in a political poll.
c. All Australian residents.
d. Every fifth Australian tax return.
Ans: C
Pool 4
10. Which of the following is an example of an iPhone-related sample?
a. All iPhones manufactured in 2022.
b. A selection of 1000 iPhones manufactured in 2022 chosen randomly based on their serial
numbers.
c. All iPhones being used in India in 2022.
d. All Indians who own iPhones.
Ans: B
11. Which of the following is an example of a wine-related sample?
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
a. All grapes grown in a specific vineyard in a given year.
b. All wine bottled from a specific vineyard in a given year.
c. Checking every 100th bottle of wine produced from wine grown in a specific vineyard in a
given year for quality control purposes.
d. All barrels of wine made from grapes grown in a specific vineyard in a given year.
Ans: C
12. Which of the following is an example of a cat-related sample?
a. All cats who are registered as patients of a specific vet.
b. All cats who are patients of a specific vet and have been diagnosed with a particular
disorder.
c. All cats who are patients of a specific vet and are up to date with their immunizations.
d. All cats who are patients of a specific vet and have been randomly selected to be invited to
try a new cat food.
Ans: D
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
Testbank
Chapter 2: Why organizational, legal, cultural and ethical
considerations shape what can and should be done with
data and analytics
Pool 1 – Legal
1. Which of the following is most likely to violate GDPR?
a. An American company collecting data about French customers with their permission.
b. A French company collecting data about American customers with their permission.
c. A French company collecting data about American customers without their permission.
d. An American company collecting data about French customers without their permission.
Ans: D
2. Which of the following is most likely to violate GDPR?
a. An Australian company using data about German customers to customize promotions with
the customers’ permission.
b. A German company using data about Australian customers to customize promotions with
the customers’ permission.
c. An Australian company using data about what German customers have purchased
previously to customize promotions.
d. A German company using data about what Australian customers have purchased
previously to customize promotions.
Ans: C
3. Which of the following does not violate GDPR?
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
a. Companies that sell products to Europeans not providing a way for people to return
products with which they are dissatisfied.
b. Companies that sell products to Europeans not providing a way for people to see what data
has been collected about them.
c. Companies that sell products to Europeans not providing a way for people to correct data
that has been collected about them.
d. Companies that sell products to Europeans not providing a way for people to ask for data
that has been collected about them to be deleted.
Ans: A
Pool 2 – Ethical
4. Which of the following is not part of the Five Safes?
a. Safe people.
b. Safe projections.
c. Safe output.
d. Safe data.
Ans: B
5. Which of the following is not part of the Five Safes?
a. Safe projects.
b. Safe systems.
c. Safe output.
d. Safe data.
Ans: B
6. Within organizations, which best describes who is responsible for ensuring data is being
used ethically?
a. The ethics department.
b. The legal department.
c. Everyone involved in collecting, analysing and using data.
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
d. The CDO (Chief Data Officer).
Ans: C
Pool 3 – Cultural
7. Which of the following is not part of the CARE principles?
a. Generate collective benefit for indigenous people.
b. Give authority to control the data to indigenous people.
c. Refrain from collecting data about indigenous people.
d. Behave responsibly towards the indigenous people providing the data.
Ans: C
8. Which of the following is not part of the CARE principles?
a. Generate collective benefit for indigenous people.
b. Archive data about indigenous people so it can be accessed by future generations.
c. Behave responsibly towards the indigenous people providing the data.
d. Use the data ethically.
Ans: B
9. Why of the following is not a reason to follow the CARE principles?
a. To ensure data collected about indigenous people benefits them.
b. To ensure data collected about indigenous people is as accurate and complete as possible.
c. To avoid unintended consequences of data collection, analysis and use.
d. To ensure your project is not breaking any laws.
Ans: D
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
Testbank
Chapter 3: Preparing to work with data
Pool 1
1. Which of the following would be the best source of data to answer the question: ‘What
percentage of people living in Melbourne are over 65?’
a. A focus group of Senior Citizens/Superannuitants in Melbourne.
b. A survey of people operating retirement homes and villages in Melbourne.
c. Data from the Australian Census.
d. Birth and death records for the City of Melbourne.
Ans: C
2. Which of the following would be the best source of data to answer the question: ‘What
percentage of people living in Melbourne who are between 50 and 65 plan to remain in
the city during their retirement?’
a. A focus group of 65–75 year olds living in Melbourne.
b. A survey of 50–65 year olds living in Melbourne.
c. Data from the Australian Census.
d. A survey of people operating retirement homes and villages in Melbourne.
Ans: B
3. Which of the following would be the best source of data to answer the question: ‘What
type of living situation would make it easy and attractive for people to stay in Melbourne
after they reach retirement age?’
a. Focus groups of 50–65 year olds in Melbourne.
b. Data from the Australian Census.
c. A survey of people living in retirement homes and villages in Melbourne.
analysis and judgement to inform decisions by
Mary Ellen Gordon
Notes
1- The file is chapter after chapter.
2- We have shown you few pages sample.
3- The file contains all Appendix and Excel sheet
if it exists.
4- We have all what you need, we make update
at every time. There are many new editions
waiting you.
5- If you think you purchased the wrong file You
can contact us at every time, we can replace it
with true one.
Our email:
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
Testbank
Chapter 1: How data and analytics can enhance human
decision-making in organizations
Pool 1
1. Which of the following is a question that could be answered with analytics?
a. Should we raise our prices?
b. Is it fair to charge more than some people who need our product can afford?
c. What proportion of our customers are likely to stop buying our product if we raise the
price?
d. If sustainability initiatives increase our costs, should we pass on those increases to our
customers?
Ans: C
2. Which of the following is a question that could be answered with analytics?
a. On average, do our employees who are men have higher salaries than our employees who
are not?
b. Should we take experience into account in setting pay rates or only skills?
c. Is it fair that some of our employees make much more than others?
d. Should we take diversity into account when making hiring decisions?
Ans: A
3. Which of the following is a question that could be answered with analytics?
a. Should we favour local suppliers in our procurement?
b. Does the proportion of deliveries that arrive later than expected vary by supplier?
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
c. Is it fair to require suppliers to have insurance that might be too expensive for small
businesses?
d. Should we require that our suppliers meet certain labour standards?
Ans: B
Pool 2
4. Which of the following is a question that cannot be answered with analytics?
a. What is our revenue predicted to be this year?
b. Is our revenue this year likely to be more than last year?
c. Is there an association between interest rates and the revenue we generate in a year?
d. Should we pay a greater dividend to our investors this year than we did last year?
Ans: D
5. Which of the following is a question that cannot be answered with analytics?
a. Are our customers more satisfied this year than they were last year?
b. Are our customers more satisfied than our competitors’ customers are?
c. Is there an association between how satisfied a customer is and how much they spend?
d. Should we compensate our salespeople based on customer satisfaction?
Ans: D
6. Which of the following is a question that cannot be answered with analytics?
a. Do workers on the night shift fulfil fewer orders per hour than workers on the day shift?
b. Do workers on the night shift make more mistakes fulfilling orders than workers on the
day shift?
c. Are there more injuries to workers on the night shift than to workers on the day shift?
d. Is it fair to make people work overnight on an ongoing basis?
Ans: D
Pool 3
7. Which of the following is an example of a population related to a company?
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
a. All employees of the company.
b. A sub-set of employees randomly selected to complete a survey.
c. The group of employees in the company cafeteria at a randomly selected time.
d. Employees who send comments about a new policy a company is considering.
Ans: A
8. Which of the following is an example of a population related to a university?
a. Students randomly selected to participate in a survey based on their student numbers.
b. All students enrolled at the university.
c. Every 10th student entering the library on randomly selected days.
d. A randomly selected set of 100 assignments used for quality assurance testing.
Ans: B
9. Which of the following is an example of a population related to Australia?
a. Every 100th Australian household.
b. A group of Australian residents randomly selected to participate in a political poll.
c. All Australian residents.
d. Every fifth Australian tax return.
Ans: C
Pool 4
10. Which of the following is an example of an iPhone-related sample?
a. All iPhones manufactured in 2022.
b. A selection of 1000 iPhones manufactured in 2022 chosen randomly based on their serial
numbers.
c. All iPhones being used in India in 2022.
d. All Indians who own iPhones.
Ans: B
11. Which of the following is an example of a wine-related sample?
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
a. All grapes grown in a specific vineyard in a given year.
b. All wine bottled from a specific vineyard in a given year.
c. Checking every 100th bottle of wine produced from wine grown in a specific vineyard in a
given year for quality control purposes.
d. All barrels of wine made from grapes grown in a specific vineyard in a given year.
Ans: C
12. Which of the following is an example of a cat-related sample?
a. All cats who are registered as patients of a specific vet.
b. All cats who are patients of a specific vet and have been diagnosed with a particular
disorder.
c. All cats who are patients of a specific vet and are up to date with their immunizations.
d. All cats who are patients of a specific vet and have been randomly selected to be invited to
try a new cat food.
Ans: D
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
Testbank
Chapter 2: Why organizational, legal, cultural and ethical
considerations shape what can and should be done with
data and analytics
Pool 1 – Legal
1. Which of the following is most likely to violate GDPR?
a. An American company collecting data about French customers with their permission.
b. A French company collecting data about American customers with their permission.
c. A French company collecting data about American customers without their permission.
d. An American company collecting data about French customers without their permission.
Ans: D
2. Which of the following is most likely to violate GDPR?
a. An Australian company using data about German customers to customize promotions with
the customers’ permission.
b. A German company using data about Australian customers to customize promotions with
the customers’ permission.
c. An Australian company using data about what German customers have purchased
previously to customize promotions.
d. A German company using data about what Australian customers have purchased
previously to customize promotions.
Ans: C
3. Which of the following does not violate GDPR?
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
a. Companies that sell products to Europeans not providing a way for people to return
products with which they are dissatisfied.
b. Companies that sell products to Europeans not providing a way for people to see what data
has been collected about them.
c. Companies that sell products to Europeans not providing a way for people to correct data
that has been collected about them.
d. Companies that sell products to Europeans not providing a way for people to ask for data
that has been collected about them to be deleted.
Ans: A
Pool 2 – Ethical
4. Which of the following is not part of the Five Safes?
a. Safe people.
b. Safe projections.
c. Safe output.
d. Safe data.
Ans: B
5. Which of the following is not part of the Five Safes?
a. Safe projects.
b. Safe systems.
c. Safe output.
d. Safe data.
Ans: B
6. Within organizations, which best describes who is responsible for ensuring data is being
used ethically?
a. The ethics department.
b. The legal department.
c. Everyone involved in collecting, analysing and using data.
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
d. The CDO (Chief Data Officer).
Ans: C
Pool 3 – Cultural
7. Which of the following is not part of the CARE principles?
a. Generate collective benefit for indigenous people.
b. Give authority to control the data to indigenous people.
c. Refrain from collecting data about indigenous people.
d. Behave responsibly towards the indigenous people providing the data.
Ans: C
8. Which of the following is not part of the CARE principles?
a. Generate collective benefit for indigenous people.
b. Archive data about indigenous people so it can be accessed by future generations.
c. Behave responsibly towards the indigenous people providing the data.
d. Use the data ethically.
Ans: B
9. Why of the following is not a reason to follow the CARE principles?
a. To ensure data collected about indigenous people benefits them.
b. To ensure data collected about indigenous people is as accurate and complete as possible.
c. To avoid unintended consequences of data collection, analysis and use.
d. To ensure your project is not breaking any laws.
Ans: D
, Gordon, Business Analytics: Combining data, Analysis and Judgement to Inform Decisions
SAGE Publishing, 2023
Testbank
Chapter 3: Preparing to work with data
Pool 1
1. Which of the following would be the best source of data to answer the question: ‘What
percentage of people living in Melbourne are over 65?’
a. A focus group of Senior Citizens/Superannuitants in Melbourne.
b. A survey of people operating retirement homes and villages in Melbourne.
c. Data from the Australian Census.
d. Birth and death records for the City of Melbourne.
Ans: C
2. Which of the following would be the best source of data to answer the question: ‘What
percentage of people living in Melbourne who are between 50 and 65 plan to remain in
the city during their retirement?’
a. A focus group of 65–75 year olds living in Melbourne.
b. A survey of 50–65 year olds living in Melbourne.
c. Data from the Australian Census.
d. A survey of people operating retirement homes and villages in Melbourne.
Ans: B
3. Which of the following would be the best source of data to answer the question: ‘What
type of living situation would make it easy and attractive for people to stay in Melbourne
after they reach retirement age?’
a. Focus groups of 50–65 year olds in Melbourne.
b. Data from the Australian Census.
c. A survey of people living in retirement homes and villages in Melbourne.
