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WGU Data-Driven-Decision-Making Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Analytics & Regression | 20% | - Simple & multiple linear regression - Forecasting & trend analysis - Interpreting coefficients, R-squared, significance |
| Topic 2: Statistical Concepts & Descriptive Analytics | 25% | - Data visualization: charts, graphs, dashboards - Data types, measurement scales, sampling methods - Measures of central tendency, dispersion, distribution |
| Topic 3: Probability & Statistical Inference | 20% | - Correlation vs. causation - Probability rules, distributions, expected value - Hypothesis testing, p-values, confidence intervals |
| Topic 4: 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 5: Decision Models & Prescriptive Analytics | 15% | - Quality & process improvement tools - Optimization, sensitivity analysis - Decision trees, payoff matrices, expected value |
WGU VPC2Data-Driven Decision MakingC207 Sample Questions:
1. What does big data include?
A) Information that can be analyzed with spreadsheets
B) Both structured and unstructured data
C) Powerful extraction tools
D) Inferential statistics for large companies
2. 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 rate at which production is completed for each assembly line.
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.
3. What is the basic difference between evaluating costs and benefits in the public and private sectors?
A) Private projects generate considerable revenue.
B) The benefits of public projects are easily quantifiable.
C) The benefit of private projects is general public welfare.
D) The costs associated with public projects are minimal.
4. The daily sales from a salon are normally distributed with a mean of $1,500 and a standard deviation of $250.
The salon owner notices that sales were $750 on a particular day.
Why should the owner be concerned about sales based on this scenario?
A) Sales of $750 are within three standard deviations of the mean.
B) Sales of $750 are within two standard deviations of the mean.
C) Sales of $750 are two standard deviations of the mean.
D) Sales of $750 are outside three standard deviations of the mean.
5. A boutique specializing in gifts reviews its sales data over the last year. It observes a slow decline in revenue in the first quarter, a growth in revenue in the second quarter, a slight decline in revenue in the third quarter, and a rapid increase in revenue in the fourth quarter.
Which data pattern type can the sales data be assessed against?
A) Cyclicality
B) Seasonality
C) Random variation
D) Irregularity
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: B |






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