{"id":127516,"date":"2023-11-26T20:57:41","date_gmt":"2023-11-26T20:57:41","guid":{"rendered":"https:\/\/learnexams.com\/blog\/?p=127516"},"modified":"2023-11-26T20:57:42","modified_gmt":"2023-11-26T20:57:42","slug":"wgu-c207-data-driven-decision-making-final-exam-latest-2023-2024-update-questions-and-verified-answers-100-correct-already-grade-a","status":"publish","type":"post","link":"https:\/\/www.learnexams.com\/blog\/2023\/11\/26\/wgu-c207-data-driven-decision-making-final-exam-latest-2023-2024-update-questions-and-verified-answers-100-correct-already-grade-a\/","title":{"rendered":"WGU C207 Data-Driven Decision-Making Final Exam (Latest 2023\/ 2024 Update) Questions and Verified Answers- 100% Correct| Already Grade A"},"content":{"rendered":"\n

WGU C207 Data-Driven Decision-Making Final Exam (Latest 2023\/ 2024 Update) Questions and Verified Answers- 100% Correct| Already Grade A<\/p>\n\n\n\n

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WGU C207 Data-Driven Decision-Making
Final Exam (Latest 2023\/ 2024 Update)
Questions and Verified Answers- 100%
Correct| Already Grade A
Q: You survey 100 New Yorkers about their preference for New York-style or Chicago-style
pizza. What would be wrong with this?
Answer:
You would encounter measurement bias
Q: Cleaning and organizing collected raw data refers to?
Answer:
data management
Q: The science of using mathematical procedures to describe data is __<\/em><\/strong>.
Answer:
statistics
Q: Suppose you wanted to measure the air quality in cities with a higher proportion of bicycle
riders to drivers. What kind of study might you use?
Answer:
observational study<\/p>\n\n\n\n

Q: Suppose you were to use analytics in an experiment to determine how many salespeople to
assign to particular sales territories based on the makeup and performance of the territories in the
results of the experiment. You would be using which kind of analytics?
Answer:
Prescriptive
Q: Suppose you employed analytics to determine which sales territories had shown the most
profitable growth in the last four quarters and would most likely do so again in the future. You
would be using which kind of analytics?
Answer:
Predictive
Q: Suppose you were making a simplified representation of a complex problem in order to
solve it, which stage of the Three Stage Model would you be in?
Answer:
Solving the problem
Q: Assume you are measuring the various returns on investment, over the past year, for four
different stocks in your portfolio. You find the following values (each as a percent of your
investment): 4.68, 5.65, 3.78, -0.46, 6.91. What kind of data are these data points?
Answer:
continous data
Q: 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?<\/p>\n\n\n\n

Answer:
Small sample size
Q: Doctor Andrews has been trying to measure 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 with this experiment?
Answer:
Operationalization
Q: 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 with this experiment?
Answer:
Association vs. causation
Q: Standard deviation measures
Answer:
the dispersion from the average for the data set.
Q: Jane works for a public health company. She is working on an anti-tobacco campaign and is
interested in how smoking cigarettes affects a smoker’s cholesterol. She could use the number of
cigarettes smoked per day as her variable and place it on the _<\/em>-axis.
Answer:
Independent and x
Q: What is not a technique a manager uses when forecasting?<\/p>\n\n\n\n

Answer:
Transitive
Q: A trend is a\u2026
Answer:
a general slope upward or downward over a long period of time.
Q: If there is a relationship between variables, but the relationship is not linear, what possible
challenge with regression could it be?
Answer:
Polynominal regression
Q: A Monte Carlo simulation runs many _<\/em><\/strong> after<\/em><\/strong> have been made about
the probability of different outcomes.
Answer:
iterations, assumptions
Q: How do you determine the early finish date for an activity in a network diagram?
Answer:
Add the duration of the activity to the early start date
Q: A team has just completed its cause-and-effect diagram and now wants to decide which of
the root causes that they uncovered is the key driver to focus on, as they develop a solution to
their problem. What tool should they use?
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