WGU Data-Driven-Decision-Making actual dump : 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:

SectionObjectives
Topic 1: Probability and Statistical Inference- Probability concepts and distributions
- Sampling methods and sampling error
Topic 2: Hypothesis Testing- Null and alternative hypotheses
- t-tests, chi-square tests, and significance testing
Topic 3: Regression and Correlation Analysis- Interpreting correlation and causation
- Linear regression modeling
Topic 4: Data Fundamentals and Business Analytics- Data types and data collection methods
- Descriptive statistics (mean, median, variance, standard deviation)
Topic 5: Decision Making Models- Risk and uncertainty in decision-making
- Decision trees and expected value analysis

WGU VPC2Data-Driven Decision MakingC207 Sample Questions:

1. A company's marketing team tells an analyst that fewer customers are opening emails in the recent email campaign. The analyst interviews a few marketing coordinators and discovers changes were made to the email subject line between the earlier successful email campaign and the recent one. The analyst then uses a statistical technique to compare the email open rates for each campaign. Which step does the comparison of the email open rate represent in the plan-do-check-act cycle?

A) Check
B) Act
C) Do
D) Plan


2. A hot tub company recently calibrated all its machines during an expensive maintenance cycle performed by an outside company. However, defective pumps with small cracks are being made on the production line. The manager reviews the data about the errors and discovers that more errors occur during the night shift than during the day shift.
Which type of activity is this manager performing?

A) Quality assurance activity
B) Quality underlying activity
C) Quality control activity
D) Quality service activity


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


4. How should a marketing consulting firm perform a cluster analysis for a new granola bar?

A) Determine competitor benchmarks and forecasts for comparison
B) Determine whether there are any granola bar sales trends
C) Determine the reasons for consumer granola bar purchases
D) Determine the different segments or groups to target


5. What is an appropriate management use of statistics?

A) Implementing changes based on customer survey response rate
B) Ordering product for a region based on one store
C) Understanding the demographics of customers
D) Justifying organizational decisions after they have been implemented


Solutions:

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

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