DATA-DRIVEN DECISION-MAKING · OBJECTIVE ASSESSMENT
A+ VERIFIED
WGU C207 Data-Driven Decision-Making
Final Exam (2026/2027) Questions and Verified Answers,
100% Guarantee Pass — Complete
Official Exam
A+ Verified Questions Full Rationales Verified Answers
A+ 5 100%
QUESTIONS SECTIONS RATIONALES
Complete coverage Core exam domains Every answer explained
WHAT THIS COVERS
01 Analytics Foundations & Data Measurement Scales
02 Descriptive Statistics & Probability
03 Inferential Statistics & Hypothesis Testing
04 Decision Analysis Tools & Expected Value
05 Quality Management & Organizational Performance
ABOUT THIS ASSESSMENT
Build mastery in data-driven decision-making — from analytics types and measurement scales to descriptive and inferential statistics,
decision trees, expected value, quality tools, and evidence-based organizational performance. This assessment targets application and
analysis skills required for WGU C207, with full rationales for every answer.
PASSING SCORE LEVEL FORMAT
75% Advanced (WGU OA) Application / Analysis
STUVIA ACTUAL EXAM Page 1
,SECTION 1: Analytics Foundations & Data Measurement Scales
Q1. A retail analytics team is deciding whether a new dashboard should summarize last quarter’s sales, forecast next quarter’s
demand, or recommend specific inventory reorder quantities. The team selects the approach that tells managers what action to
take. Which type of analytics has the team chosen?
A. Descriptive analytics that reports historical patterns
B. Predictive analytics that forecasts future outcomes
C. Prescriptive analytics that recommends specific actions
D. Diagnostic analytics that explains why results occurred
Correct Answer: C
Rationale:
Prescriptive analytics goes beyond describing or predicting to recommend concrete actions. Descriptive reports the past, predictive forecasts
the future, and diagnostic explains causes; only prescriptive specifies what managers should do.
Q2. A marketing manager classifies customers by preferred contact channel: email, phone, or text. The labels have no
inherent order or numerical distance. Which measurement scale does this classification represent?
A. Interval scale with equal differences
B. Ratio scale with a true zero point
C. Nominal scale with unordered categories
D. Ordinal scale with ranked categories
Correct Answer: C
Rationale:
Nominal data consists of unordered category labels. Ordinal data has rank order, interval data has equal intervals without a true zero, and
ratio data has a meaningful zero; contact-channel labels fit only the nominal scale.
Q3. A quality analyst ranks product defects as minor, moderate, or severe. The ranking conveys order but not equal numerical
distance between ranks. Which measurement scale is being used?
A. Ordinal scale of ordered categories
B. Interval scale of equal intervals
C. Ratio scale of absolute quantities
D. Nominal scale of unordered labels
Correct Answer: A
Rationale:
Ordinal scales preserve rank order without equal spacing. Nominal lacks order, interval assumes equal intervals, and ratio requires a true
zero; defect severity ranks are classic ordinal data.
Q4. An operations manager records daily temperature readings in degrees Celsius to monitor warehouse conditions. The
scale has equal intervals but no true zero that indicates absence of temperature. Which measurement scale applies?
A. Interval scale with equal differences but arbitrary zero
B. Ordinal scale of ranked temperatures
C. Nominal scale of temperature categories
D. Ratio scale because zero is absolute
Correct Answer: A
Rationale:
Celsius is an interval scale: differences are meaningful, yet zero does not mean “no temperature.” Ratio scales possess a true zero, while
ordinal and nominal lack equal intervals.
STUVIA ACTUAL EXAM · Page 2
, SECTION 1: Analytics Foundations & Data Measurement Scales
Q5. A logistics firm measures shipment weight in kilograms. Zero kilograms means the absence of weight, and ratios such as
“twice as heavy” are meaningful. Which measurement scale is this?
A. Nominal scale of weight categories
B. Ordinal scale of light-to-heavy ranks
C. Interval scale without a true zero
D. Ratio scale with a true zero and meaningful ratios
Correct Answer: D
Rationale:
Weight in kilograms is ratio data because zero is absolute and multiplication of values is meaningful. Interval scales lack a true zero; ordinal
and nominal scales lack equal spacing and true zeros.
Q6. A hospital administrator frames a problem by first identifying stakeholders, clarifying the decision to be made, and
determining the scope of data needed. Which stage of the Davenport-Kim model is the administrator performing?
A. Implementing the recommended solution
B. Solving the problem through modeling and analysis
C. Communicating results to decision makers
D. Framing the problem before analysis begins
Correct Answer: D
Rationale:
Framing the problem is the first stage of the Davenport-Kim model and includes stakeholder identification, decision focus, and scope
definition. Solving and communicating occur later.
Q7. A data team discovers that several customer records are missing age values and that some ages were entered as text
rather than numbers. The team corrects these issues before analysis. Which data-quality activity has the team performed?
A. Predictive modeling of customer lifetime value
B. Hypothesis testing of age-related differences
C. Data visualization for stakeholder reporting
D. Data cleaning to address missing and inconsistent values
Correct Answer: D
Rationale:
Data cleaning handles missing values, type mismatches, and inconsistencies so that subsequent analysis is reliable. Visualization, modeling,
and hypothesis testing occur after the data are cleaned.
Q8. An executive asks for a summary of what happened to customer churn last quarter without any forecast or recommended
action. Which analytics type answers this request?
A. Descriptive analytics summarizing historical churn
B. Diagnostic analytics explaining root causes of churn
C. Prescriptive analytics recommending retention campaigns
D. Predictive analytics estimating future churn rates
Correct Answer: A
Rationale:
Descriptive analytics answers “what happened” by summarizing historical data. Predictive addresses “what will happen,” prescriptive “what
should we do,” and diagnostic “why did it happen.”
STUVIA ACTUAL EXAM · Page 3
A+ VERIFIED
WGU C207 Data-Driven Decision-Making
Final Exam (2026/2027) Questions and Verified Answers,
100% Guarantee Pass — Complete
Official Exam
A+ Verified Questions Full Rationales Verified Answers
A+ 5 100%
QUESTIONS SECTIONS RATIONALES
Complete coverage Core exam domains Every answer explained
WHAT THIS COVERS
01 Analytics Foundations & Data Measurement Scales
02 Descriptive Statistics & Probability
03 Inferential Statistics & Hypothesis Testing
04 Decision Analysis Tools & Expected Value
05 Quality Management & Organizational Performance
ABOUT THIS ASSESSMENT
Build mastery in data-driven decision-making — from analytics types and measurement scales to descriptive and inferential statistics,
decision trees, expected value, quality tools, and evidence-based organizational performance. This assessment targets application and
analysis skills required for WGU C207, with full rationales for every answer.
PASSING SCORE LEVEL FORMAT
75% Advanced (WGU OA) Application / Analysis
STUVIA ACTUAL EXAM Page 1
,SECTION 1: Analytics Foundations & Data Measurement Scales
Q1. A retail analytics team is deciding whether a new dashboard should summarize last quarter’s sales, forecast next quarter’s
demand, or recommend specific inventory reorder quantities. The team selects the approach that tells managers what action to
take. Which type of analytics has the team chosen?
A. Descriptive analytics that reports historical patterns
B. Predictive analytics that forecasts future outcomes
C. Prescriptive analytics that recommends specific actions
D. Diagnostic analytics that explains why results occurred
Correct Answer: C
Rationale:
Prescriptive analytics goes beyond describing or predicting to recommend concrete actions. Descriptive reports the past, predictive forecasts
the future, and diagnostic explains causes; only prescriptive specifies what managers should do.
Q2. A marketing manager classifies customers by preferred contact channel: email, phone, or text. The labels have no
inherent order or numerical distance. Which measurement scale does this classification represent?
A. Interval scale with equal differences
B. Ratio scale with a true zero point
C. Nominal scale with unordered categories
D. Ordinal scale with ranked categories
Correct Answer: C
Rationale:
Nominal data consists of unordered category labels. Ordinal data has rank order, interval data has equal intervals without a true zero, and
ratio data has a meaningful zero; contact-channel labels fit only the nominal scale.
Q3. A quality analyst ranks product defects as minor, moderate, or severe. The ranking conveys order but not equal numerical
distance between ranks. Which measurement scale is being used?
A. Ordinal scale of ordered categories
B. Interval scale of equal intervals
C. Ratio scale of absolute quantities
D. Nominal scale of unordered labels
Correct Answer: A
Rationale:
Ordinal scales preserve rank order without equal spacing. Nominal lacks order, interval assumes equal intervals, and ratio requires a true
zero; defect severity ranks are classic ordinal data.
Q4. An operations manager records daily temperature readings in degrees Celsius to monitor warehouse conditions. The
scale has equal intervals but no true zero that indicates absence of temperature. Which measurement scale applies?
A. Interval scale with equal differences but arbitrary zero
B. Ordinal scale of ranked temperatures
C. Nominal scale of temperature categories
D. Ratio scale because zero is absolute
Correct Answer: A
Rationale:
Celsius is an interval scale: differences are meaningful, yet zero does not mean “no temperature.” Ratio scales possess a true zero, while
ordinal and nominal lack equal intervals.
STUVIA ACTUAL EXAM · Page 2
, SECTION 1: Analytics Foundations & Data Measurement Scales
Q5. A logistics firm measures shipment weight in kilograms. Zero kilograms means the absence of weight, and ratios such as
“twice as heavy” are meaningful. Which measurement scale is this?
A. Nominal scale of weight categories
B. Ordinal scale of light-to-heavy ranks
C. Interval scale without a true zero
D. Ratio scale with a true zero and meaningful ratios
Correct Answer: D
Rationale:
Weight in kilograms is ratio data because zero is absolute and multiplication of values is meaningful. Interval scales lack a true zero; ordinal
and nominal scales lack equal spacing and true zeros.
Q6. A hospital administrator frames a problem by first identifying stakeholders, clarifying the decision to be made, and
determining the scope of data needed. Which stage of the Davenport-Kim model is the administrator performing?
A. Implementing the recommended solution
B. Solving the problem through modeling and analysis
C. Communicating results to decision makers
D. Framing the problem before analysis begins
Correct Answer: D
Rationale:
Framing the problem is the first stage of the Davenport-Kim model and includes stakeholder identification, decision focus, and scope
definition. Solving and communicating occur later.
Q7. A data team discovers that several customer records are missing age values and that some ages were entered as text
rather than numbers. The team corrects these issues before analysis. Which data-quality activity has the team performed?
A. Predictive modeling of customer lifetime value
B. Hypothesis testing of age-related differences
C. Data visualization for stakeholder reporting
D. Data cleaning to address missing and inconsistent values
Correct Answer: D
Rationale:
Data cleaning handles missing values, type mismatches, and inconsistencies so that subsequent analysis is reliable. Visualization, modeling,
and hypothesis testing occur after the data are cleaned.
Q8. An executive asks for a summary of what happened to customer churn last quarter without any forecast or recommended
action. Which analytics type answers this request?
A. Descriptive analytics summarizing historical churn
B. Diagnostic analytics explaining root causes of churn
C. Prescriptive analytics recommending retention campaigns
D. Predictive analytics estimating future churn rates
Correct Answer: A
Rationale:
Descriptive analytics answers “what happened” by summarizing historical data. Predictive addresses “what will happen,” prescriptive “what
should we do,” and diagnostic “why did it happen.”
STUVIA ACTUAL EXAM · Page 3
