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WGU Data-Driven-Decision-Making Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Probability & Statistical Inference | 20% | - Probability rules, distributions, expected value - Hypothesis testing, p-values, confidence intervals - Correlation vs. causation |
| Topic 2: Decision Models & Prescriptive Analytics | 15% | - Decision trees, payoff matrices, expected value - Quality & process improvement tools - Optimization, sensitivity analysis |
| Topic 3: Statistical Concepts & Descriptive Analytics | 25% | - Data types, measurement scales, sampling methods - Data visualization: charts, graphs, dashboards - Measures of central tendency, dispersion, distribution |
| Topic 4: Foundations of Data-Driven Decision Making | 20% | - Ethics, privacy, and data governance - Role of data in business decisions - Types of analytics: descriptive, predictive, prescriptive |
| Topic 5: Predictive Analytics & Regression | 20% | - Interpreting coefficients, R-squared, significance - Forecasting & trend analysis - Simple & multiple linear regression |
WGU VPC2Data-Driven Decision MakingC207 Sample Questions:
1. What is an omission error?
A) When crucial data is missing
B) When data contains outliers
C) When not all the data has been reviewed
D) When data is inaccurate
2. A school board has nine voting members. Five members need to be chosen each year for the finance committee. Why should the combination technique be used when selecting committee members?
A) Because the selection order of committee members is not important
B) Because there is not a correlation between committee member meeting attendance and selection
C) Because there is a correlation between committee member meeting attendance and selection
D) Because the selection order of committee members is important
3. A bakery owner would like to know how many cakes to sell for monthly profit to equal zero. Which analysis method should the owner perform?
A) Break-even
B) T-test
C) ANOVA
D) Crossover
4. 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 target variable.
B) It is the dependent variable.
C) It is a control.
D) It is the independent variable.
5. What does prevalence measure when studying disease frequency?
A) Potential future cases of a disease
B) Only past cases of a disease
C) Only new cases of a disease
D) All existing cases of a disease
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: D |






