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WGU C207 Data Driven Decision Making Module 2 2025/2026 Exam Questions and Answers | A+ Score Assured

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WGU C207 Data Driven Decision Making Module 2 2025/2026 Exam Questions and Answers | A+ Score Assured 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. -

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WGU C207 Data Driven Decision Making
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WGU C207 Data Driven Decision Making

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WGU C207 Data Driven Decision Making
Module 2 2025/2026 Exam Questions
and Answers | A+ Score Assured



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.




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COPYRIGHT©NINJANERD 2025/2026. YEAR PUBLISHED 2025. COMPANY REGISTRATION NUMBER: 619652435. TERMS OF USE. PRIVACY
STATEMENT. ALL RIGHTS RESERVED

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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?

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STATEMENT. ALL RIGHTS RESERVED

,3




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


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STATEMENT. ALL RIGHTS RESERVED

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d Blinding - 🧠 ANSWER ✔✔c Association vs. Causation




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)


4
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STATEMENT. ALL RIGHTS RESERVED

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Institution
WGU C207 Data Driven Decision Making
Course
WGU C207 Data Driven Decision Making

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