EBTM 350 CH1 HOMEWORK EXAM QUESTIONS AND VERIFIED
ANSWERS WITH COMPLETE SOLUTIONS
Discuss how one might use business analytics in their personal life.
Select all that apply.
A. A golf player might use statistics to help to diagnose problems and improve
their game.
B. An automobile owner can predict when the next maintenance will be due by
recording things such as the miles driven and gas mileage. This would help them
budget accordingly.
C. A store might keep track of inventory and use it to decide what items are in
demand.
D. A reporter could analyze social media posts to see what types of people are
more likely to share unverified news stories.
All of the above (A,B,C, and D)
A supermarket has been experiencing long lines during peak periods of the day.
The problem is noticeably worse on certain days of the week, and the peak
periods sometimes differ according to the day of the week. There are usually
enough workers on the job to open all cash registers. The problem the
supermarket manager faces is knowing when to call some of the workers who are
stocking shelves up to the front to work the checkout counters. Use this
, information to answer the given questions.
How might business analytics help the supermarket manager? Select all that
apply.
A. The manager can use analytics to schedule the minimum necessary or
predicted number of workers for cash registers in order to ensure that none of
the cash registers are idle.
B. A model might be developed to find the number of checkout counters to open
to ensure a reasonable wait time or maximize customer throughput.
C. A model can be developed to forecast customer demand for a set amount of
time in the future.
D. The manager can use analytics by examining historical data on customer flow
during each hour of each day of the week and month.
E. Business analytics can help to predict customer demand at the checkout
counters and determine the appropriate number to have open.
B, C, D, and E all relate to the problem
A does not relate to the problem as minimizing workers and idling registers are not
related to calling workers to work registers.
A supermarket has been experiencing long lines during peak periods of the day.
The problem is noticeably worse on certain days of the week, and the peak
periods sometimes differ according to the day of the week. There are usually
enough workers on the job to open all cash registers. The problem the
ANSWERS WITH COMPLETE SOLUTIONS
Discuss how one might use business analytics in their personal life.
Select all that apply.
A. A golf player might use statistics to help to diagnose problems and improve
their game.
B. An automobile owner can predict when the next maintenance will be due by
recording things such as the miles driven and gas mileage. This would help them
budget accordingly.
C. A store might keep track of inventory and use it to decide what items are in
demand.
D. A reporter could analyze social media posts to see what types of people are
more likely to share unverified news stories.
All of the above (A,B,C, and D)
A supermarket has been experiencing long lines during peak periods of the day.
The problem is noticeably worse on certain days of the week, and the peak
periods sometimes differ according to the day of the week. There are usually
enough workers on the job to open all cash registers. The problem the
supermarket manager faces is knowing when to call some of the workers who are
stocking shelves up to the front to work the checkout counters. Use this
, information to answer the given questions.
How might business analytics help the supermarket manager? Select all that
apply.
A. The manager can use analytics to schedule the minimum necessary or
predicted number of workers for cash registers in order to ensure that none of
the cash registers are idle.
B. A model might be developed to find the number of checkout counters to open
to ensure a reasonable wait time or maximize customer throughput.
C. A model can be developed to forecast customer demand for a set amount of
time in the future.
D. The manager can use analytics by examining historical data on customer flow
during each hour of each day of the week and month.
E. Business analytics can help to predict customer demand at the checkout
counters and determine the appropriate number to have open.
B, C, D, and E all relate to the problem
A does not relate to the problem as minimizing workers and idling registers are not
related to calling workers to work registers.
A supermarket has been experiencing long lines during peak periods of the day.
The problem is noticeably worse on certain days of the week, and the peak
periods sometimes differ according to the day of the week. There are usually
enough workers on the job to open all cash registers. The problem the
