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WGU C207 Data-Driven Decision Making: Course Materials & Resources 2025

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Access essential WGU C207 Data-Driven Decision Making resources for 2025. This collection includes key concepts, analytical techniques, and models for business analytics to help you prepare for assessments and excel in the course.

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WGU C207 DATA-DRIVEN DECISION-MAKING FINAL

EXAM AND PRACTICE EXAM NEWEST 2025 TEST

BANK| COMPLETE 550 REAL EXAM QUESTIONS AND

CORRECT VERIFIED ANSWERS/ ALREADY GRADED A+

(MOST RECENT!!)

Frame the Problem, Solving the Problem and Communicating

Results are part of which decision making model? .....ANSWER.....

Davenport-Kim three-stage model

In which stage of the Davenport-Kim model is problem

recognition? .....ANSWER..... Framing the problem

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

.....ANSWER..... Solving the problem

What is a key reason we study statistics? .....ANSWER..... To

make informed decisions

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Visually presenting the data assists in which stage of the

Davenport-Kim model? .....ANSWER..... Communicating the results

When does research fail to produce reliable results?

.....ANSWER..... Poor research validity

What are the two major issues surrounding research standards?

.....ANSWER..... Best practices and ethics

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

.....ANSWER..... The appropriate size and random

Not selecting a random sample is what type of bias?

.....ANSWER..... Measurement

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

.....ANSWER..... Measurement

Research best practices eliminate... .....ANSWER..... Bias

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

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Unpredictable error .....ANSWER..... Random Error - No

correlation

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

.....ANSWER..... Omission Error - Distorted results

This error repeats itself .....ANSWER..... Systematic Error -

Skewed results

Observation points that are distant from other observations.

.....ANSWER..... Outliers Note: Can be included or excluded in

analysis (causes skewness)

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

sample .....ANSWER..... Measurement bias

Types of Bias: Bias introduced because respondents believe it

will be beneficial if selected. .....ANSWER..... Conscious bias (key

word: benefit)

Consistent and repeatable data .....ANSWER..... Reliable

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Resulting from accurate measurements .....ANSWER..... Valid data

If a responder lies on their survey, this creates what type of bias?

.....ANSWER..... Information

Sorting your spreadsheet can expose these errors by moving

them to the very top or the very bottom of the column

.....ANSWER..... Omission or Out-of-Range

An error that will fix itself over time .....ANSWER..... Random

An error that will not fix itself. You must do something

.....ANSWER..... Systematic

Cleaning and organizing data .....ANSWER..... Data

Management

Are the following variable quantitative or qualitative?

Personality type, social class, or communication style

.....ANSWER..... Qualitative

Connected book
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Parul Gandhi, Surbhi Bhatia, Kapal Dev Data Driven Decision Making using Analytics
Publisher: 2021 ISBN: 9781000506433 Edition: Unknown

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