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WGU Data-Driven-Decision-Making Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Analytics & Regression | 20% | - Forecasting & trend analysis - Interpreting coefficients, R-squared, significance - Simple & multiple linear regression |
| Topic 2: Probability & Statistical Inference | 20% | - Hypothesis testing, p-values, confidence intervals - Probability rules, distributions, expected value - Correlation vs. causation |
| 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% | - Role of data in business decisions - Types of analytics: descriptive, predictive, prescriptive - Ethics, privacy, and data governance |
| 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. Which analytic used in healthcare is calculated as a proportion of new cases compared to person-time units?
A) Morbidity rate
B) Incidence rate
C) Prevalence
D) Cumulative incidence
2. A county government is creating a budget for the next fiscal year. They wish to use analytics to guide their decisions about costs. Which analytic method can the county apply to this issue?
A) Average cost per project spent by other similar counties
B) Median number of projects completed last year
C) Average number of projects completed
D) Median cost for all county projects
3. Which input could be used to create and evaluate a process that would improve an organization's performance?
A) Data gathered from a customer survey
B) Information from an employee handbook
C) Suggestions from a close competitor
D) Rules and regulations imposed on the banking industry
4. What is the 80/20 rule associated with a Pareto chart?
A) Twenty percent of quality management problems can be explained by the other 80% of the problems.
B) Eighty percent of quality management problems result from 20% of causes.
C) Twenty percent of quality management problems result from 80% of causes.
D) Eighty percent of quality management problems can be explained by the other 20% of the problems.
5. Why is choosing appropriate performance indicators important for data-driven decision-making?
A) They align with an organization's definition of success.
B) They are a key part of an organization's rules and bylaws.
C) They convince employees that they are equally as important as their managers.
D) They satisfy governmental regulations.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A |
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