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WGU Data-Driven-Decision-Making Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Fundamentals and Business Analytics | - Data types and data collection methods - Descriptive statistics (mean, median, variance, standard deviation) |
| Topic 2: Hypothesis Testing | - Null and alternative hypotheses - t-tests, chi-square tests, and significance testing |
| 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: Regression and Correlation Analysis | - Interpreting correlation and causation - Linear regression modeling |
WGU VPC2Data-Driven Decision MakingC207 Sample Questions:
1. How is a cause-and-effect diagram used?
A) To assign blame for manufacturing problems
B) To brainstorm possible root causes for an intermittency problem
C) As a software tool to automatically generate a business process diagram
D) As a financial risk calculation tool for a new product release
2. 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) On-time performance
B) Incentive performance rate
C) Employee morale index
D) Customer satisfaction
3. Two project teams are assigned to upgrade an on-premise data warehouse to a cloud-based data lake in 13 months. The infrastructure team has five team members, while the enterprise analytics team has three team members. The enterprise analytics team cannot move into production until the infrastructure team has completed the migration.
What should be used to find the probability that the project will be completed on time?
A) Multiplication principle
B) Conditional probability
C) Combination
D) Bayes' theorem
4. A spa wants to determine which duration of its massage packages is the most popular. The spa has 30-minute,
50-minute, and 75-minute sessions. Which statistical measure should be used and is less affected by outliers and skewed data?
A) Mode
B) Mean
C) Standard deviation
D) Median
5. A clothing company wants to predict sales figures based on the amount spent on advertising.
Which type of regression analysis should this company use?
A) Logistic regression
B) Time series regression
C) Multiple linear regression
D) Linear regression
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: D |


