Page 1 of 47
WGU C207 - DATA DRIVEN DECISION MAKING
EXAM | FREQUENTLY TESTED QUESTIONS
WITH CORRECT ANSWERS | BRAND NEW!
(Quiz 1) 1. 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
C
(Quiz 1) 2. What type of data error that occurs in measurement is
constant within a data set and is sometimes caused by faulty
equipment or bias?
A) Random
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B) Omission
C) Outlier
D) Systematic
D
(Quiz 1) 3. 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
C
(Quiz 1) 4. 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?
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A) Random
B) Omission
C) Outlier
D) Accuracy
B
(Quiz 1) 5. 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
D
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(Quiz 1) 6. The 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
A&C
(Quiz 1) 7. 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
WGU C207 - DATA DRIVEN DECISION MAKING
EXAM | FREQUENTLY TESTED QUESTIONS
WITH CORRECT ANSWERS | BRAND NEW!
(Quiz 1) 1. 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
C
(Quiz 1) 2. What type of data error that occurs in measurement is
constant within a data set and is sometimes caused by faulty
equipment or bias?
A) Random
,Page 2 of 47
B) Omission
C) Outlier
D) Systematic
D
(Quiz 1) 3. 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
C
(Quiz 1) 4. 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?
,Page 3 of 47
A) Random
B) Omission
C) Outlier
D) Accuracy
B
(Quiz 1) 5. 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
D
, Page 4 of 47
(Quiz 1) 6. The 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
A&C
(Quiz 1) 7. 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
