WGU C207 Data-Driven Decision Making Objective Assessment OA
Question Bank (Latest 2026/2027 Edition) – 100% Correct
Questions, Answers & Detailed Rationales
Total Questions: 50
Time Allowed: 90 Minutes
Passing Score: Competency-Based
Instructions: Select the BEST answer for each question based on data-driven
decision-making principles, quantitative analysis methods, and organizational
performance improvement strategies. For SATA questions, select all that apply.
SECTION 1: THE CASE FOR QUANTITATIVE ANALYSIS
Questions 1–8
1. An operations director notices that customer complaints have increased by 40% over
the past quarter. She begins by defining the problem scope, collecting relevant
background data, and identifying key stakeholders before conducting any statistical
analysis. According to Davenport and Kim's Three-Stage Model, which stage is she
completing?
A. Solve the Problem
B. Frame the Problem
,C. Communicate the Results
D. Implement the Solution
Correct Answer: B
Rationale: Stage 1 of Davenport and Kim's model is "Frame the Problem," which involves
understanding the environment of a problem, defining its scope, gathering contextual
data, and identifying stakeholders before any analysis occurs.
2. Which of the following best describes the primary purpose of quantitative analysis in
organizational decision-making?
A. To eliminate the need for managerial judgment and intuition
B. To provide data-driven insights that enhance the quality of decisions
C. To replace qualitative assessments entirely with numerical models
D. To guarantee that all strategic decisions produce positive financial returns
Correct Answer: B
Rationale: Quantitative analysis supports decision-making by providing objective,
data-driven insights. It supplements rather than replaces managerial judgment and does
not guarantee outcomes, but it improves decision quality by reducing uncertainty.
3. (Select all that apply.) Which of the following are characteristics of quantitative data?
A. Can be measured numerically
B. Includes categories with no inherent order
, C. Can be classified as discrete or continuous
D. Is always subjective in nature
Correct Answer: A, C
Rationale: Quantitative data is numerical and objective. It can be discrete (countable
values, such as number of defects) or continuous (measurable values, such as weight
or time). Categories with no order describe nominal (qualitative) data, and quantitative
data is not subjective.
4. A market researcher collects customer satisfaction ratings using a scale of 1 to 5,
where 1 = Very Dissatisfied and 5 = Very Satisfied. What type of data measurement
scale is this?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
Correct Answer: B
Rationale: An ordinal scale has categories with a meaningful order or rank (1 < 2 < 3 < 4
< 5), but the intervals between values are not necessarily equal. Therefore, customer
satisfaction ratings on a 1–5 scale are ordinal data.
5. Which data measurement scale features equal intervals between values and a true
zero point, thereby allowing ratio comparisons such as "twice as much"?
Question Bank (Latest 2026/2027 Edition) – 100% Correct
Questions, Answers & Detailed Rationales
Total Questions: 50
Time Allowed: 90 Minutes
Passing Score: Competency-Based
Instructions: Select the BEST answer for each question based on data-driven
decision-making principles, quantitative analysis methods, and organizational
performance improvement strategies. For SATA questions, select all that apply.
SECTION 1: THE CASE FOR QUANTITATIVE ANALYSIS
Questions 1–8
1. An operations director notices that customer complaints have increased by 40% over
the past quarter. She begins by defining the problem scope, collecting relevant
background data, and identifying key stakeholders before conducting any statistical
analysis. According to Davenport and Kim's Three-Stage Model, which stage is she
completing?
A. Solve the Problem
B. Frame the Problem
,C. Communicate the Results
D. Implement the Solution
Correct Answer: B
Rationale: Stage 1 of Davenport and Kim's model is "Frame the Problem," which involves
understanding the environment of a problem, defining its scope, gathering contextual
data, and identifying stakeholders before any analysis occurs.
2. Which of the following best describes the primary purpose of quantitative analysis in
organizational decision-making?
A. To eliminate the need for managerial judgment and intuition
B. To provide data-driven insights that enhance the quality of decisions
C. To replace qualitative assessments entirely with numerical models
D. To guarantee that all strategic decisions produce positive financial returns
Correct Answer: B
Rationale: Quantitative analysis supports decision-making by providing objective,
data-driven insights. It supplements rather than replaces managerial judgment and does
not guarantee outcomes, but it improves decision quality by reducing uncertainty.
3. (Select all that apply.) Which of the following are characteristics of quantitative data?
A. Can be measured numerically
B. Includes categories with no inherent order
, C. Can be classified as discrete or continuous
D. Is always subjective in nature
Correct Answer: A, C
Rationale: Quantitative data is numerical and objective. It can be discrete (countable
values, such as number of defects) or continuous (measurable values, such as weight
or time). Categories with no order describe nominal (qualitative) data, and quantitative
data is not subjective.
4. A market researcher collects customer satisfaction ratings using a scale of 1 to 5,
where 1 = Very Dissatisfied and 5 = Very Satisfied. What type of data measurement
scale is this?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
Correct Answer: B
Rationale: An ordinal scale has categories with a meaningful order or rank (1 < 2 < 3 < 4
< 5), but the intervals between values are not necessarily equal. Therefore, customer
satisfaction ratings on a 1–5 scale are ordinal data.
5. Which data measurement scale features equal intervals between values and a true
zero point, thereby allowing ratio comparisons such as "twice as much"?
