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WGU C207 Data-Driven Decision Making OA Final Exam Questions, Answers and Rationales 2027

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WGU C207 Data-Driven Decision Making OA Final Exam Questions, Answers and Rationales 2027

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WGU C207 Data-Driven Decision Making OA Final Exam Questions,
Answers and Rationales 2027

Question 1
• Type: True or False
• Question: From data mining, someone is able to make conclusions
about the underlying causes of certain variables.
• Answer: False
• Rationale: Data mining identifies patterns, correlations, or trends
in large datasets, but it cannot determine causation. Without
controlled experimentation, it is impossible to know whether a
variable is causing an outcome or simply associated with it.
Analysts should avoid assuming cause-and-effect from purely
mined data, as confounding factors may exist.
Question 2
• Type: True or False
• Question: As technology improves, there will be a greater amount
of raw data.
• Answer: True
• Rationale: Technological advancements in sensors, IoT devices,
and data collection tools increase the volume of raw data
generated. More accessible and faster data collection methods
allow organizations to gather larger datasets for analysis. This
growth also increases the importance of effective data
management and analytics techniques.
Question 3
• Type: True or False

,WGU C207 Data-Driven Decision Making OA Final Exam Questions,
Answers and Rationales 2027

• Question: The first step in the Davenport-Kim three-stage model is
to frame the problem by recognizing what the problem is and
then reviewing previous findings to begin structuring the analysis.
• Answer: True
• Rationale: Framing involves defining the problem clearly,
reviewing prior research, and structuring the analysis. Proper
framing ensures that subsequent stages, including data collection
and analysis, address the correct objectives.
Question 4
• Type: True or False
• Question: The stage that involves the most intense statistics and
data work is stage 3, communicating results.
• Answer: False
• Rationale: Stage 2, "solving the problem," involves the most
statistical and analytical work. This includes data modeling,
analysis, and interpretation of results. Stage 3 focuses on
presenting findings and communicating insights, not performing
heavy statistical calculations.
Question 5
• Type: True or False
• Question: Observational studies are often used when a surveyor
wants to adjust different variables and take note of the effects.
• Answer: False

,WGU C207 Data-Driven Decision Making OA Final Exam Questions,
Answers and Rationales 2027

• Rationale: Observational studies are used when it is impractical or
unethical to control variables, unlike experimental studies where
variables can be manipulated. Observational research records
naturally occurring events to identify correlations or patterns.
Causal conclusions are limited because variable manipulation does
not occur.
Question 6
• Type: True or False
• Question: Data is valid if it can be repeated by the same person in
the same lab each and every time the experiment is executed.
• Answer: False
• Rationale: Validity requires that data is accurate and meaningful
across different contexts, not just repeatable by one person.
Reliability ensures consistency, but validity ensures that the
measurement truly represents what it is intended to measure.
Multiple researchers in different locations should be able to
achieve similar results to confirm validity.


Question 7
• Question: If you were to take your temperature 10 times in a row
using the same thermometer and got the same result every time,
you could say that the thermometer is:
• Options:
o A) Accurate

, WGU C207 Data-Driven Decision Making OA Final Exam Questions,
Answers and Rationales 2027

o B) Reliable
o C) Invalid
o D) Biased
• Answer: B) Reliable
• Rationale: Reliability refers to consistency in measurement. Even
if the thermometer consistently gives the same reading, it may
not reflect the true temperature (accuracy). Repeatable results
demonstrate reliability but not necessarily validity.

Question 8
• Question:
According to the 2000 census, the average number of
people in a family in the U.S. was 3.17. Since it isn't
possible to have .17 of a person, what type of data point
is used to describe the actual number of people in an
individual family?
• Options:
o A) Continuous data
o B) Discrete data
o C) Qualitative data
o D) Ordinal data

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