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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: Probability & Statistical Inference | 20% | - Hypothesis testing, p-values, confidence intervals - Correlation vs. causation - Probability rules, distributions, expected value |
| Topic 3: Decision Models & Prescriptive Analytics | 15% | - Decision trees, payoff matrices, expected value - Optimization, sensitivity analysis - Quality & process improvement tools |
| Topic 4: Foundations of Data-Driven Decision Making | 20% | - Types of analytics: descriptive, predictive, prescriptive - Ethics, privacy, and data governance - Role of data in business decisions |
| Topic 5: Statistical Concepts & Descriptive Analytics | 25% | - Data visualization: charts, graphs, dashboards - Data types, measurement scales, sampling methods - Measures of central tendency, dispersion, distribution |
WGU VPC2Data-Driven Decision MakingC207 Sample Questions:
1. Which tool should be used to closely monitor inputs and outputs?
A) Business process diagram
B) Joint financial statements
C) Individual pro forma statements
D) SIPOC diagram
2. When researchers are studying the effect of new drug treatments on patients, bias can be introduced by patients if they are aware of who receives the placebo.
Which type of research design eliminates this type of bias?
A) Observational study
B) Time series study
C) Blind study
D) Prospective cohort study
3. How is a cause-and-effect diagram used?
A) As a financial risk calculation tool for a new product release
B) To assign blame for manufacturing problems
C) As a software tool to automatically generate a business process diagram
D) To brainstorm possible root causes for an intermittency problem
4. A nonprofit organization is asking for donations. It hopes to design an email campaign that will ensure it receives at least $50,000. The campaign will reach 10,000 donors and receive donations with a mean of $10 and a standard deviation of $5.
Which measure should be used to determine the probability of the campaign receiving $50,000?
A) T-statistic
B) R-squared
C) Median
D) Z-score
5. Which type of analysis determines whether there was a significant difference in the average donor solicitation amount between three nonprofit hospital events?
A) Logistic regression
B) ANOVA
C) Cluster
D) Time series
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: B |
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