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WGU C207 Data-Driven Decision Making Objective Assessment Exam 2025/2026 – Verified Questions with Correct Answers (100% Guaranteed Pass)

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This document provides the verified set of actual exam questions with correct answers for the WGU C207 Data-Driven Decision Making Objective Assessment 2025/2026. It covers essential topics including descriptive and inferential statistics, hypothesis testing, regression analysis, probability, data visualization, and decision-making strategies. With accurate solutions and clear explanations, this resource is designed to help students prepare effectively and ensure exam success

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Institution
WGU C207 Data-Driven Decision Making Objective Ass
Course
WGU C207 Data-Driven Decision Making Objective Ass

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1



WGU C207 Data-Driven Decision Making
Objective Assessment Exam 2025/2026 –
Verified Questions with Correct Answers
(100% Guaranteed Pass)
Question 1

Analytics is a broad term that refers to a variety of tools that inform managerial decisions. Which
term best describes managerial decisions?
a. Prescriptive
b. Predictive
c. Pareto chart
d. Biased

Rationale: Prescriptive analytics provides recommendations for actions to achieve desired
outcomes, directly informing managerial decisions. Predictive analytics forecasts future events,
Pareto charts visualize data distribution, and biased decisions are not a type of analytics.



Question 2

What are two reasons for the increasing use of analytics in organizational decision-making?
a. Higher cost of computer storage
b. Lower cost of computer storage
c. Increased availability of statistical experts
d. Higher computer processing power

Rationale: Lower storage costs and higher processing power enable organizations to handle
large datasets efficiently, driving analytics use. Higher storage costs and increased expert
availability are not primary drivers.



Question 3

Which decision-making model includes the stages: Frame the Problem, Solve the Problem, and
Communicate Results?
a. Six Sigma DMAIC

, 2


b. Davenport-Kim three-stage model
c. SWOT Analysis
d. Plan-Do-Check-Act

Rationale: The Davenport-Kim model consists of framing the problem, solving it through
analysis, and communicating results. Other models (DMAIC, SWOT, PDCA) have different
structures.



Question 4

In which stage of the Davenport-Kim model is problem recognition performed?
a. Solve the Problem
b. Frame the Problem
c. Communicate Results
d. Evaluate Outcomes

Rationale: Problem recognition occurs during the Frame the Problem stage, where the issue
is identified and defined. Other stages focus on analysis, communication, or evaluation.



Question 5

What is a key reason for studying statistics in decision-making?
a. To increase data storage costs
b. To make informed decisions
c. To eliminate data collection
d. To reduce computer processing power

Rationale: Statistics enables informed decision-making by providing insights from data
analysis. Options a, c, and d are unrelated or counterproductive to this goal.



Question 6

What type of study ensures participants are unaware of whether they are in the treatment or
control group?
a. Double-blind study
b. Blind study
c. Triple-blind study
d. Observational study

, 3


Rationale: A blind study ensures participants do not know their group assignment, reducing
bias. Double-blind involves both participants and researchers, triple-blind includes response
gatherers, and observational studies do not involve group assignments.



Question 7

What is a double-blind study?
a. Only researchers are unaware of group assignments
b. Neither participants nor researchers know group assignments
c. Only participants know group assignments
d. All parties know group assignments

Rationale: A double-blind study prevents bias by ensuring neither participants nor
researchers know who is in the treatment or control group. Other options describe different study
designs.



Question 8

What type of bias occurs when the sample is not representative of the population?
a. Selection bias
b. Omission bias
c. Systematic bias
d. Random bias

Rationale: Selection bias occurs when the sample does not accurately represent the
population, skewing results. Omission bias involves missing data, systematic bias involves
consistent errors, and random bias is not a standard term.



Question 9

What is the primary purpose of data management in analytics?
a. To increase data errors
b. To manage, clean, and store data
c. To eliminate statistical analysis
d. To reduce data collection

Rationale: Data management involves organizing, cleaning, and storing data to ensure
accuracy and usability for analysis. Options a, c, and d are incorrect as they do not align with this
purpose.

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Institution
WGU C207 Data-Driven Decision Making Objective Ass
Course
WGU C207 Data-Driven Decision Making Objective Ass

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