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WGU Data-Driven-Decision-Making real answers - VPC2Data-Driven Decision MakingC207

Data-Driven-Decision-Making
  • Exam Code: Data-Driven-Decision-Making
  • Exam Name: VPC2Data-Driven Decision MakingC207
  • Updated: Aug 13, 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%- Decision trees, payoff matrices, expected value
- Quality & process improvement tools
- Optimization, sensitivity analysis
Topic 2: Foundations of Data-Driven Decision Making20%- Role of data in business decisions
- Types of analytics: descriptive, predictive, prescriptive
- Ethics, privacy, and data governance
Topic 3: Probability & Statistical Inference20%- Hypothesis testing, p-values, confidence intervals
- Probability rules, distributions, expected value
- Correlation vs. causation
Topic 4: Statistical Concepts & Descriptive Analytics25%- Measures of central tendency, dispersion, distribution
- Data types, measurement scales, sampling methods
- Data visualization: charts, graphs, dashboards
Topic 5: Predictive Analytics & Regression20%- Forecasting & trend analysis
- Interpreting coefficients, R-squared, significance
- Simple & multiple linear regression

WGU VPC2Data-Driven Decision MakingC207 Sample Questions:

1. A nonprofit organization is asking for donations. It hopes to design an email campaign that will ensure it receives at least $50,000. The campaign will reach 10,000 donors and receive donations with a mean of $10 and a standard deviation of $5.
Which measure should be used to determine the probability of the campaign receiving $50,000?

A) Z-score
B) T-statistic
C) Median
D) R-squared


2. Which process is considered a statistical process control activity?

A) Evaluating consumer complaints about manufacturing defects
B) Forecasting future consumer demand for a new product
C) Aligning marketing strategy with manufacturing capabilities
D) Determining if the precision of a manufactured product is within a tolerable range


3. 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 the rate at which production is completed for each assembly line.
B) ANOVA can determine which assembly line has the most output.
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.


4. What is the formula for calculating a simple index number?

A) The base year's price divided by the current price times 100
B) The current price divided by the base year's price times 100
C) The current price divided by the base year's price
D) The base year's price divided by the current price


5. A company runs a regression analysis to identify the impact of volume on demand, which can be shown as an equation y = 50x + 10. Which volume is needed to produce a demand of 10,510?

A) 210
B) 525
C) 525,610
D) 208


Solutions:

Question # 1
Answer: A
Question # 2
Answer: D
Question # 3
Answer: D
Question # 4
Answer: B
Question # 5
Answer: A

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