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WGU C207 Data Driven Decision Making – Complete Exam Questions and Answers (Latest Updated Version)

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WGU C207 Data Driven Decision Making – Complete Exam Questions and Answers (Latest Updated Version) Introduction: This document contains the full set of updated questions and answers for the WGU C207 course Data Driven Decision Making. It covers key topics such as descriptive, predictive, and prescriptive analytics, probability rules, hypothesis testing, regression, quality management tools, and key performance indicators. The material is structured in a clear Q&A format, making it useful for practice, exam preparation, and review of all major course competencies. Questions and Answers: 1. For companies to attract and retain their best customers they need a complete portrait of who they are. To develop this portrait companies turn to... A) Statistics B) Analytics C) Management Science D) Histograms 2. A manufacturer wants to maximize their factory output while specifically minimizing labor costs. What type of analytics might they employ to achieve this goal? A) Descriptive Analytics B) Predictive Analytics C) Prescriptive Analytics D) Diagnostic Analytics 3. What type of data error that occurs in measurement is constant within a data set and is some- times caused by faulty equipment or bias? A) Random B) Omission C) Outlier D) Systematic 4. An Educator develops a new standardized test to measure math skills of ninth graders. She has students in her home state of Ohio take the test. If the test is to be used on a national level, what type of error might be found in her data? A) Omission Error B) Systematic Error C) Measurement Bias D) Information Bias

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

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Uploaded on
September 18, 2025
Number of pages
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Written in
2025/2026
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Exam (elaborations)
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WGU C207 Data Driven Decision Making
– Complete Exam Questions and Answers
(Latest Updated Version)
Introduction:
This document contains the full set of updated questions and
answers for the WGU C207 course Data Driven Decision Making. It
covers key topics such as descriptive, predictive, and prescriptive
analytics, probability rules, hypothesis testing, regression, quality
management tools, and key performance indicators. The material
is structured in a clear Q&A format, making it useful for practice,
exam preparation, and review of all major course competencies.


Questions and Answers:
1. For companies to attract and retain their best customers they
need a complete portrait of who they are. To develop this portrait
companies turn to...
A) Statistics
B) Analytics
C) Management Science
D) Histograms


2. A manufacturer wants to maximize their factory output while
specifically minimizing labor costs. What type of analytics might
they employ to achieve this goal?
A) Descriptive Analytics
B) Predictive Analytics

,C) Prescriptive Analytics
D) Diagnostic Analytics
3. What type of data error that occurs in measurement is constant
within a data set and is some- times caused by faulty equipment
or bias?
A) Random
B) Omission
C) Outlier
D) Systematic
4. An Educator develops a new standardized test to measure math
skills of ninth graders. She has students in her home state of Ohio
take the test. If the test is to be used on a national level, what type
of error might be found in her data?




A) Omission Error
B) Systematic Error
C) Measurement Bias
D) Information Bias


5. A city government is trying to determine
the national origins of its recent immigrant population. If a survey
of the immigrant population is conducted in English what type of
error might be present in the data?
A) Random
B) Omission
C) Outlier

, D) Accuracy


6. The use of Big Data is increasingly important to businesses in
competitive markets. Which of the following characteristics is
NOT true of big data?
A) Requires the use of analytics
B) Contains structured data
C) Contains unstructured data
D) Can be analyzed with traditional spreadsheets


7. Davenport-Kim three-stage model consists of framing the
problem, solving the problem, and communicating results. Which
two of the following are part of framing the problem stage?
A) Determine the scope of the problem
B) Data collection


C) Review of previous findings
D) Presenting a recommendation


8. A healthcare provider is researching blood glucose levels
before and after exercising. What two elements should be part of
any experimental study such as this?
A) Treatment procedures
B) Patient observation
C) Statistical validity
D) Experimental response

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