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WGU Data-Driven-Decision-Making Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Fundamentals and Business Analytics | - Descriptive statistics (mean, median, variance, standard deviation) - Data types and data collection methods |
| Topic 2: Regression and Correlation Analysis | - Interpreting correlation and causation - Linear regression modeling |
| Topic 3: Decision Making Models | - Risk and uncertainty in decision-making - Decision trees and expected value analysis |
| Topic 4: Probability and Statistical Inference | - Sampling methods and sampling error - Probability concepts and distributions |
| Topic 5: Hypothesis Testing | - t-tests, chi-square tests, and significance testing - Null and alternative hypotheses |
WGU VPC2Data-Driven Decision MakingC207 Sample Questions:
1. A major hospital system wants to improve its level of patient satisfaction. Management has recently asked patients to complete a survey as part of the discharge process. From this survey, a net promoter score is derived and tracked over time. What does a net promoter score reveal?
A) How existing employees make advancements within an organization
B) The strength of an organization's customer relations
C) The effectiveness of a new advertising campaign
D) How management feels about subordinate employees
2. Which type of study is also known as a quasi-experimental study?
A) Hypothesis testing
B) Content validity
C) Blind study
D) Observational study
3. The U.S. Postal Service wants to know if local first-class mail is being delivered within two days of postmark.
Which key performance indicator (KPI) should the Postal Service use?
A) Customer satisfaction
B) Incentive performance rate
C) Employee morale index
D) On-time performance
4. How should Ishikawa's seven basic tools of quality be used?
Choose 2 answers.
A) The output from one tool can be used as another tool's input.
B) The tools can be used in combination with each other.
C) The tools should be used only by high-level managers and not by average workers.
D) The tools make trends easy to recognize within only one graph.
5. A hospital is restructuring its business and administrative functions.
Which component of service delivery could be analyzed with a data analytics approach to help determine whether the hospital is adequately staffed for each shift?
A) Patient satisfaction levels
B) Staff productivity levels
C) Patient-to-staff ratios
D) Staff education levels
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: A,B | Question # 5 Answer: C |





