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WGU Data-Driven-Decision-Making Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Analytics & Regression | 20% | - Interpreting coefficients, R-squared, significance - Forecasting & trend analysis - Simple & multiple linear regression |
| Topic 2: Foundations of Data-Driven Decision Making | 20% | - Ethics, privacy, and data governance - Types of analytics: descriptive, predictive, prescriptive - Role of data in business decisions |
| Topic 3: Decision Models & Prescriptive Analytics | 15% | - Optimization, sensitivity analysis - Quality & process improvement tools - Decision trees, payoff matrices, expected value |
| Topic 4: Statistical Concepts & Descriptive Analytics | 25% | - Data visualization: charts, graphs, dashboards - Data types, measurement scales, sampling methods - Measures of central tendency, dispersion, distribution |
| Topic 5: Probability & Statistical Inference | 20% | - Correlation vs. causation - Hypothesis testing, p-values, confidence intervals - Probability rules, distributions, expected value |
WGU VPC2Data-Driven Decision MakingC207 Sample Questions:
Question 1
A retail manager collected the following sales-receipt totals from the store's cashiers:
$25, $22, $48, $42, $32, $28, $24, $54, $34, $41, $48
What is the median of this sales-receipt data?
A. $34
B. $25
C. $41
D. $48
Question 2
Why are experiments conducted using random sample populations?
A. Because studying an entire population is difficult and impractical.
B. Because the software to analyze entire populations is expensive.
C. Because entire population data have too many outliers.
D. Because random sample populations ensure bias elimination.
Question 3
A financial analyst theorizes that commute times increase as the percentage of land availability for homes in a city decreases. To test this hypothesis, the analyst uses a regression analysis to explore how land availability predicts commute time.
What does land availability represent in this regression?
A. It is the dependent variable.
B. It is the independent variable.
C. It is the target variable.
D. It is a control.
Question 4
What are two benefits of good data quality management in improving business decision-making?
Choose 2 answers.
A. It guarantees that a sample will be statistically significant.
B. It begins the statistical process faster.
C. It ensures there are no missing data points.
D. It mitigates undetected errors from the data-entry process.
Question 5
A hospital hires a third-party company to train its surgery team on the latest techniques and assess the team's current procedures in the operating room.
Which results-based management (RBM) stage is represented in this scenario?
A. Output
B. Activities
C. Outcome
D. Input
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: C,D | Question 5 Answer: B |







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