WGU C207 Data Driven Decision
Making Module 2 Questions and
Answers 100% Pass
Which of the following is NOT an application of statistics in business?
a Determine the internet advertiser that will reach the most people from extensive
page view data.
b Determine a target market based on information on household incomes
throughout the country.
c Predict trends in certain investments of big companies from previous results of
Fortune 100 companies.
d Forecast likelihood of board of director decisions from previous voting habits. -
ANSWER-d Forecast likelihood of board of director decisions from previous
voting habits.
©️COPYRIGHT 2025, ALL RIGHTS RESERVED. 1
,Although this might be in a business context, this is the use of statistics in politics.
The other three examples are applications of statistics in business.
Bethany notices that her husband is wearing a blue sweater on Tuesday. She
cannot remember what he has worn previous Tuesdays. The next Tuesday she
notices he is wearing another blue sweater. She concludes that if it is Tuesday, he
will wear a blue sweater having data from her experiment to support this. What is
the flaw with this experiment?
a Small Sample Size
b Operationalization
c Missing Data
d Assumptions - ANSWER-a Small Sample Size
This is an experiment with too few data entries to form a statistically relevant
conclusion.
Doctor Andrews has been trying to measure the likelihood of heart attack risk.
Doctor Andrews decides to monitor hair length in people to determine those at
high risk of heart attack. What is the flaw in this experiment?
©️COPYRIGHT 2025, ALL RIGHTS RESERVED. 2
,a Assumptions
b Association vs. Causation
c Response Bias
d Operationalization - ANSWER-d Operationalization
Monitoring hair growth does not measure the risk of heart attack. There is a flaw
in the experiment because the experiment is not measuring what the objective is
trying to determine.
Mr. Wonka notices that the last twenty times he invented a new chocolate candy,
his major competitors, Count Chocula, and the Easter Bunny, have big sales in late
October. Mr. Wonka feels directly responsible for the profit of his competitors.
What is the flaw in this experiment?
a Small Sample Size
b Truly Representative Sample
c Association vs. Causation
d Blinding - ANSWER-c Association vs. Causation
©️COPYRIGHT 2025, ALL RIGHTS RESERVED. 3
, Mr. Wonka's inventive ways are probably not the cause of increased chocolate
candy sales for his competitors at the end of October like Mr. Wonka has
concluded.
There is a 90 percent chance that a package will arrive within three days of when it
was shipped. Also, there is a 75 percent chance that it will get wet. There is a 70
percent chance that it will get wet and will be delivered within three days. What is
the likelihood that at least one of these events occurs?
a 0.8
b 0.85
c 0.9
d 0.95 - ANSWER-d 0.95
This is a union between P(on time) and P(wet). Therefore, P(on time∪wet)
=P(on time)+P(wet)−P(on time∩wet)
=0.90+0.75−0.70=0.95=95%
There is an 80 percent chance of snow. If it snows there is a 10 percent chance of
Todd walking to the store. If it doesn't snow there is a 60 percent chance of Todd
©️COPYRIGHT 2025, ALL RIGHTS RESERVED. 4
Making Module 2 Questions and
Answers 100% Pass
Which of the following is NOT an application of statistics in business?
a Determine the internet advertiser that will reach the most people from extensive
page view data.
b Determine a target market based on information on household incomes
throughout the country.
c Predict trends in certain investments of big companies from previous results of
Fortune 100 companies.
d Forecast likelihood of board of director decisions from previous voting habits. -
ANSWER-d Forecast likelihood of board of director decisions from previous
voting habits.
©️COPYRIGHT 2025, ALL RIGHTS RESERVED. 1
,Although this might be in a business context, this is the use of statistics in politics.
The other three examples are applications of statistics in business.
Bethany notices that her husband is wearing a blue sweater on Tuesday. She
cannot remember what he has worn previous Tuesdays. The next Tuesday she
notices he is wearing another blue sweater. She concludes that if it is Tuesday, he
will wear a blue sweater having data from her experiment to support this. What is
the flaw with this experiment?
a Small Sample Size
b Operationalization
c Missing Data
d Assumptions - ANSWER-a Small Sample Size
This is an experiment with too few data entries to form a statistically relevant
conclusion.
Doctor Andrews has been trying to measure the likelihood of heart attack risk.
Doctor Andrews decides to monitor hair length in people to determine those at
high risk of heart attack. What is the flaw in this experiment?
©️COPYRIGHT 2025, ALL RIGHTS RESERVED. 2
,a Assumptions
b Association vs. Causation
c Response Bias
d Operationalization - ANSWER-d Operationalization
Monitoring hair growth does not measure the risk of heart attack. There is a flaw
in the experiment because the experiment is not measuring what the objective is
trying to determine.
Mr. Wonka notices that the last twenty times he invented a new chocolate candy,
his major competitors, Count Chocula, and the Easter Bunny, have big sales in late
October. Mr. Wonka feels directly responsible for the profit of his competitors.
What is the flaw in this experiment?
a Small Sample Size
b Truly Representative Sample
c Association vs. Causation
d Blinding - ANSWER-c Association vs. Causation
©️COPYRIGHT 2025, ALL RIGHTS RESERVED. 3
, Mr. Wonka's inventive ways are probably not the cause of increased chocolate
candy sales for his competitors at the end of October like Mr. Wonka has
concluded.
There is a 90 percent chance that a package will arrive within three days of when it
was shipped. Also, there is a 75 percent chance that it will get wet. There is a 70
percent chance that it will get wet and will be delivered within three days. What is
the likelihood that at least one of these events occurs?
a 0.8
b 0.85
c 0.9
d 0.95 - ANSWER-d 0.95
This is a union between P(on time) and P(wet). Therefore, P(on time∪wet)
=P(on time)+P(wet)−P(on time∩wet)
=0.90+0.75−0.70=0.95=95%
There is an 80 percent chance of snow. If it snows there is a 10 percent chance of
Todd walking to the store. If it doesn't snow there is a 60 percent chance of Todd
©️COPYRIGHT 2025, ALL RIGHTS RESERVED. 4
