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WGU C207 – Data Driven Decision Making – Final Exam Practice Set with Verified Questions and Correct Answers (Latest Update)

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This document provides a comprehensive exam-style practice set for WGU C207: Data Driven Decision Making, aligned with the latest course competencies. It includes carefully structured practice questions with verified correct answers designed to reinforce data analysis concepts, statistical reasoning, and decision-making frameworks commonly assessed in the course. The material supports focused revision, self-assessment, and confident preparation for the C207 objective assessment.

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2025/2026
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WGU - C207 DATA DRIVEN DECISION MAKING EXAM
QUESTIONS AND ANSWERS (CORRECT AND
VERIFIED ANSWERS) LATEST UPDATE




Frame the Problem, Solving the Problem and Communicating
Results are part of which decision making model? - CORRECT
ANSWER Davenport-Kim three-stage model


In which stage of the Davenport-Kim model is problem
recognition? - CORRECT ANSWER Framing the problem


In which stage of the Davenport-Kim model is data collection? -
CORRECT ANSWER Solving the problem


What is a key reason we study statistics? - CORRECT
ANSWER To make informed decisions


Visually presenting the data assists in which stage of the
Davenport-Kim model? - CORRECT ANSWER
Communicating the results

,When does research fail to produce reliable results? -
CORRECT ANSWER Poor research validity


What are the two major issues surrounding research standards? -
CORRECT ANSWER Best practices and ethics


In order to be a statistically valid sample, the sample must be: -
CORRECT ANSWER The appropriate size and random


Not selecting a random sample is what type of bias? -
CORRECT ANSWER Measurement


Not selecting a right sized sample is what type of bias? -
CORRECT ANSWER Measurement


Research best practices eliminate... - CORRECT ANSWER
Bias


Outliers create this type of error - CORRECT ANSWER Out-
of Range


Unpredictable error - CORRECT ANSWER Random Error -
No correlation

,Error may occur from missing data. (Example: Space not filled
in) - CORRECT ANSWER Omission Error - Distorted results


This error repeats itself - CORRECT ANSWER Systematic
Error - Skewed results


Observation points that are distant from other observations. -
CORRECT ANSWER Outliers Note: Can be included or
excluded in analysis (causes skewness)


Types of Bias: Bias that occurs from not selecting a random
sample - CORRECT ANSWER Measurement bias


Types of Bias: Bias introduced because respondents believe it
will be beneficial if selected. - CORRECT ANSWER
Conscious bias (key word: benefit)


Consistent and repeatable data - CORRECT ANSWER
Reliable


Resulting from accurate measurements - CORRECT ANSWER
Valid data

, If a responder lies on their survey, this creates what type of bias?
- CORRECT ANSWER Information


Sorting your spreadsheet can expose these errors by moving
them to the very top or the very bottom of the column -
CORRECT ANSWER Omission or Out-of-Range


An error that will fix itself over time - CORRECT ANSWER
Random


An error that will not fix itself. You must do something -
CORRECT ANSWER Systematic


Cleaning and organizing data - CORRECT ANSWER Data
Management


Are the following variable quantitative or qualitative?
Personality type, social class, or communication style -
CORRECT ANSWER Qualitative


A study used when you a conditions can't be controlled -
CORRECT ANSWER Observational study

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