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WGU C207 – Data-Driven Decision Making | Questions and Correct Answers | Latest Update | Verified and Already Graded

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This updated WGU C207: Data-Driven Decision Making study guide provides a comprehensive set of verified questions and correct answers from the latest version of the course. It covers essential topics including descriptive and inferential statistics, probability, hypothesis testing, regression analysis, and data interpretation. Each answer has been reviewed and graded for accuracy, making this resource ideal for mastering key concepts and preparing efficiently for the Objective Assessment.

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Institution
WGU C207
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WGU C207

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Uploaded on
October 7, 2025
Number of pages
44
Written in
2025/2026
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WGU C207 Data Driven Decision Making
Questions and Correct Answers/ Latest
Update / Already Graded
Frame the Problem, Solving the Problem and Communicating Results

are part of which decision making model?


Ans: Davenport-Kim three-stage model




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


Ans: Framing the problem




In which stage of the Davenport-Kim model is data collection?


Ans: Solving the problem




What is a key reason we study statistics?


Ans: To make informed decisions

,2|Page

Visually presenting the data assists in which stage of the Davenport-

Kim model?


Ans: Communicating the results




When does research fail to produce reliable results?


Ans: Poor research validity




What are the two major issues surrounding research standards?


Ans: Best practices and ethics




In order to be a statistically valid sample, the sample must be:


Ans: The appropriate size and random




Not selecting a random sample is what type of bias?


Ans: Measurement

,3|Page

Not selecting a right sized sample is what type of bias?


Ans: Measurement




Research best practices eliminate...


Ans: Bias




Outliers create this type of error


Ans: Out-of Range




Unpredictable error


Ans: Random Error - No correlation




Error may occur from missing data. (Example: Space not filled in)


Ans: Omission Error - Distorted results




This error repeats itself

, 4|Page

Ans: Systematic Error - Skewed results




Observation points that are distant from other observations.


Ans: Outliers Note: Can be included or excluded in analysis (causes

skewness)




Types of Bias: Bias that occurs from not selecting a random sample


Ans: Measurement bias




Types of Bias: Bias introduced because respondents believe it will be

beneficial if selected.


Ans: Conscious bias (key word: benefit)




Consistent and repeatable data


Ans: Reliable




Resulting from accurate measurements

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