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WGU Data-Driven-Decision-Making Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Foundations of Data-Driven Decision Making | 20% | - Role of data in business decisions - Types of analytics: descriptive, predictive, prescriptive - Ethics, privacy, and data governance |
| Statistical Concepts & Descriptive Analytics | 25% | - Measures of central tendency, dispersion, distribution - Data visualization: charts, graphs, dashboards - Data types, measurement scales, sampling methods |
| Decision Models & Prescriptive Analytics | 15% | - Quality & process improvement tools - Optimization, sensitivity analysis - Decision trees, payoff matrices, expected value |
| Probability & Statistical Inference | 20% | - Hypothesis testing, p-values, confidence intervals - Correlation vs. causation - Probability rules, distributions, expected value |
| Predictive Analytics & Regression | 20% | - Simple & multiple linear regression - Forecasting & trend analysis - Interpreting coefficients, R-squared, significance |
WGU VPC2Data-Driven Decision MakingC207 Sample Questions:
1. What is true about outliers?
Choose 2 answers.
A) Outliers that are miskeyed can be corrected prior to analysis.
B) All observed outliers should be eliminated from a study prior to analysis.
C) Outliers detected in a study are useful in determining if something does not belong in the study.
D) All outliers are statistically significant when using a normal distribution.
2. How should Ishikawa's seven basic tools of quality be used?
Choose 2 answers.
A) The tools should be used only by high-level managers and not by average workers.
B) The tools can be used in combination with each other.
C) The tools make trends easy to recognize within only one graph.
D) The output from one tool can be used as another tool's input.
3. A company runs a regression analysis to determine sales based on advertising expenditures, which can be shown in a linear equation as y = 2x + 25,000. The company plans to spend $20,000 on advertising.
Which sales figure should the company expect to generate based on the given equation?
A) $50,000
B) $40,000
C) $65,000
D) $75,000
4. Which type of study is also known as a quasi-experimental study?
A) Hypothesis testing
B) Content validity
C) Blind study
D) Observational study
5. What are two benefits of good data quality management in improving business decision-making?
Choose 2 answers.
A) It begins the statistical process faster.
B) It mitigates undetected errors from the data-entry process.
C) It ensures there are no missing data points.
D) It guarantees that a sample will be statistically significant.
Solutions:
| Question # 1 Answer: A,C | Question # 2 Answer: B,D | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: B,C |







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