WGU Data-Driven-Decision-Making Q&A - in .pdf

  • Data-Driven-Decision-Making pdf
  • Exam Code: Data-Driven-Decision-Making
  • Exam Name: VPC2Data-Driven Decision MakingC207
  • Updated: Sep 28, 2026
  • Q & A: 125 Questions and Answers
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  • Exam Code: Data-Driven-Decision-Making
  • Exam Name: VPC2Data-Driven Decision MakingC207
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  • Updated: Sep 28, 2026
  • Q & A: 125 Questions and Answers
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  • Exam Code: Data-Driven-Decision-Making
  • Exam Name: VPC2Data-Driven Decision MakingC207
  • Updated: Sep 28, 2026
  • Q & A: 125 Questions and Answers
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WGU Data-Driven-Decision-Making Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Decision Models & Prescriptive Analytics15%- Quality & process improvement tools
- Optimization, sensitivity analysis
- Decision trees, payoff matrices, expected value
Topic 2: Predictive Analytics & Regression20%- Simple & multiple linear regression
- Forecasting & trend analysis
- Interpreting coefficients, R-squared, significance
Topic 3: Statistical Concepts & Descriptive Analytics25%- Data visualization: charts, graphs, dashboards
- Data types, measurement scales, sampling methods
- Measures of central tendency, dispersion, distribution
Topic 4: Probability & Statistical Inference20%- Correlation vs. causation
- Probability rules, distributions, expected value
- Hypothesis testing, p-values, confidence intervals
Topic 5: Foundations of Data-Driven Decision Making20%- Ethics, privacy, and data governance
- Types of analytics: descriptive, predictive, prescriptive
- Role of data in business decisions

WGU VPC2Data-Driven Decision MakingC207 Sample Questions:

Question #1

What does big data include?

  • A. Information that can be analyzed with spreadsheets
  • B. Both structured and unstructured data
  • C. Powerful extraction tools
  • D. Inferential statistics for large companies
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

A plant manager wants to compare the production output for three assembly lines. Why is ANOVA the correct analysis technique to use for this scenario?

  • A. ANOVA can determine which assembly line has the most output.
  • B. ANOVA can determine the rate at which production is completed for each assembly line.
  • C. ANOVA can determine the reason one assembly line outperforms the others.
  • D. ANOVA can determine whether there is a significant difference in the output among the assembly lines.
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Correct Answer: D  🗳️

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Question #3

What is the basic difference between evaluating costs and benefits in the public and private sectors?

  • A. Private projects generate considerable revenue.
  • B. The benefits of public projects are easily quantifiable.
  • C. The benefit of private projects is general public welfare.
  • D. The costs associated with public projects are minimal.
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Correct Answer: A  🗳️

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Question #4

The daily sales from a salon are normally distributed with a mean of $1,500 and a standard deviation of $250.
The salon owner notices that sales were $750 on a particular day.
Why should the owner be concerned about sales based on this scenario?

  • A. Sales of $750 are within three standard deviations of the mean.
  • B. Sales of $750 are within two standard deviations of the mean.
  • C. Sales of $750 are two standard deviations of the mean.
  • D. Sales of $750 are outside three standard deviations of the mean.
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Correct Answer: D  🗳️

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Question #5

A boutique specializing in gifts reviews its sales data over the last year. It observes a slow decline in revenue in the first quarter, a growth in revenue in the second quarter, a slight decline in revenue in the third quarter, and a rapid increase in revenue in the fourth quarter.
Which data pattern type can the sales data be assessed against?

  • A. Cyclicality
  • B. Seasonality
  • C. Random variation
  • D. Irregularity
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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