WGU C207 DATA-DRIVEN DECISION-
MAKING FINAL EXAM: (LATEST 2026/2027
UPDATE) WITH CORRECT/ACCURATE
ANSWERS
WGU C207 DATA-DRIVEN DECISION-
MAKING
1. True or False?
From data mining, someone is able to make conclusions about the underlying causes
of certain variables.
a) True
b) False ✅
Correct Answer: False
Rationale: Data mining can identify patterns, correlations, and trends within large
datasets, but it cannot determine the underlying causes of those patterns. Cause-and-
effect relationships require controlled experiments or deeper theoretical analysis.
Therefore, while data mining is useful for insight discovery, conclusions about
causality are not guaranteed.
2. True or False?
As technology improves, there will be a greater amount of raw data.
a) True ✅
b) False
Correct Answer: True
,Rationale: Advancements in technology make data collection faster, cheaper, and
more widespread. Sensors, digital platforms, and IoT devices continuously generate
new streams of raw data. Consequently, as technology progresses, organizations and
researchers have access to exponentially more information to analyze.
3. True or False?
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 to
structure the analysis.
a) True ✅
b) False
Correct Answer: True
Rationale: The Davenport-Kim three-stage model begins with problem framing. This
stage involves defining the problem clearly, identifying objectives, and reviewing past
studies or data. Proper framing ensures that subsequent analysis is relevant and that
resources are efficiently allocated in the solving and communicating stages.
4. True or False?
The stage that involves the most intense statistics and data work is stage 3,
communicating results.
a) True
b) False ✅
Correct Answer: False
Rationale: Stage 2, solving the problem, involves the heaviest statistical and
analytical work. Activities include data modeling, hypothesis testing, regression
,analysis, and predictive analytics. Stage 3 focuses on presenting and communicating
results, not performing extensive statistical calculations.
5. True or False?
Observational studies are often used when a surveyor wants to adjust different
variables and take note of the effects.
a) True
b) False ✅
Correct Answer: False
Rationale: Observational studies do not involve manipulation of variables; instead,
researchers observe and measure existing conditions. Experiments, not observational
studies, are used to control variables and test effects. Observational studies are
suitable when control is impractical or unethical.
6. True or False?
Data is valid if it can be repeated by the same person in the same lab each and every
time the experiment is executed.
a) True
b) False ✅
Correct Answer: False
Rationale: Validity requires that results are accurate representations of the
phenomenon being measured, which often means replicability across different
individuals and settings. Consistency by a single individual does not guarantee
validity; it only indicates reliability, not correctness or generalizability.
, 7. 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:
a) Valid
b) Reliable ✅
c) Accurate
Correct Answer: Reliable
Rationale: Reliability refers to the consistency of a measurement tool. If repeated
measurements yield the same result, the tool is reliable. However, reliability alone
does not guarantee accuracy; the thermometer could consistently report the wrong
temperature.
8. 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 0.17 of a
person, you would use what type of data to describe the number of
people in your family?
a) Continuous
b) Discrete ✅
c) Nominal
Correct Answer: Discrete
Rationale: Discrete data consist of countable, separate values such as integers. You
cannot have a fractional person in a family, so the number of family members is
discrete. Continuous data, by contrast, can take any value within a range.
MAKING FINAL EXAM: (LATEST 2026/2027
UPDATE) WITH CORRECT/ACCURATE
ANSWERS
WGU C207 DATA-DRIVEN DECISION-
MAKING
1. True or False?
From data mining, someone is able to make conclusions about the underlying causes
of certain variables.
a) True
b) False ✅
Correct Answer: False
Rationale: Data mining can identify patterns, correlations, and trends within large
datasets, but it cannot determine the underlying causes of those patterns. Cause-and-
effect relationships require controlled experiments or deeper theoretical analysis.
Therefore, while data mining is useful for insight discovery, conclusions about
causality are not guaranteed.
2. True or False?
As technology improves, there will be a greater amount of raw data.
a) True ✅
b) False
Correct Answer: True
,Rationale: Advancements in technology make data collection faster, cheaper, and
more widespread. Sensors, digital platforms, and IoT devices continuously generate
new streams of raw data. Consequently, as technology progresses, organizations and
researchers have access to exponentially more information to analyze.
3. True or False?
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 to
structure the analysis.
a) True ✅
b) False
Correct Answer: True
Rationale: The Davenport-Kim three-stage model begins with problem framing. This
stage involves defining the problem clearly, identifying objectives, and reviewing past
studies or data. Proper framing ensures that subsequent analysis is relevant and that
resources are efficiently allocated in the solving and communicating stages.
4. True or False?
The stage that involves the most intense statistics and data work is stage 3,
communicating results.
a) True
b) False ✅
Correct Answer: False
Rationale: Stage 2, solving the problem, involves the heaviest statistical and
analytical work. Activities include data modeling, hypothesis testing, regression
,analysis, and predictive analytics. Stage 3 focuses on presenting and communicating
results, not performing extensive statistical calculations.
5. True or False?
Observational studies are often used when a surveyor wants to adjust different
variables and take note of the effects.
a) True
b) False ✅
Correct Answer: False
Rationale: Observational studies do not involve manipulation of variables; instead,
researchers observe and measure existing conditions. Experiments, not observational
studies, are used to control variables and test effects. Observational studies are
suitable when control is impractical or unethical.
6. True or False?
Data is valid if it can be repeated by the same person in the same lab each and every
time the experiment is executed.
a) True
b) False ✅
Correct Answer: False
Rationale: Validity requires that results are accurate representations of the
phenomenon being measured, which often means replicability across different
individuals and settings. Consistency by a single individual does not guarantee
validity; it only indicates reliability, not correctness or generalizability.
, 7. 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:
a) Valid
b) Reliable ✅
c) Accurate
Correct Answer: Reliable
Rationale: Reliability refers to the consistency of a measurement tool. If repeated
measurements yield the same result, the tool is reliable. However, reliability alone
does not guarantee accuracy; the thermometer could consistently report the wrong
temperature.
8. 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 0.17 of a
person, you would use what type of data to describe the number of
people in your family?
a) Continuous
b) Discrete ✅
c) Nominal
Correct Answer: Discrete
Rationale: Discrete data consist of countable, separate values such as integers. You
cannot have a fractional person in a family, so the number of family members is
discrete. Continuous data, by contrast, can take any value within a range.
