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WGU Data-Driven-Decision-Making Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Hypothesis Testing | - t-tests, chi-square tests, and significance testing - Null and alternative hypotheses |
| Topic 2: Regression and Correlation Analysis | - Interpreting correlation and causation - Linear regression modeling |
| Topic 3: Data Fundamentals and Business Analytics | - Descriptive statistics (mean, median, variance, standard deviation) - Data types and data collection methods |
| Topic 4: Probability and Statistical Inference | - Sampling methods and sampling error - Probability concepts and distributions |
| Topic 5: Decision Making Models | - Risk and uncertainty in decision-making - Decision trees and expected value analysis |
WGU VPC2Data-Driven Decision MakingC207 Sample Questions:
1. An entrepreneur wants to start a boutique cupcake business based on family recipes shared for three generations. The entrepreneur knows the required costs associated with rent, supplies, utilities, and hourly wages and wants to determine how many cupcakes they need to sell to generate a profit.
Which technique should be used to analyze this data?
A) T-test
B) Crossover analysis
C) Regression
D) Break-even analysis
2. A car dealership sells both new and used cars. The number of new cars sold on a given day ranges from 5 to
30 while the number of used cars sold ranges from 5 to 40. The number of used cars sold is mutually exclusive to the number of new cars sold.
Which statistic would be used to compare the number of new and used car sales on any given day?
A) F-statistic
B) Chi-square
C) Z-score
D) R-squared
3. Which process is considered a statistical process control activity?
A) Determining if the precision of a manufactured product is within a tolerable range
B) Evaluating consumer complaints about manufacturing defects
C) Aligning marketing strategy with manufacturing capabilities
D) Forecasting future consumer demand for a new product
4. Which type of analytics classification uses experimental design and optimization to suggest a course of action?
A) Diagnostic analytics
B) Predictive analytics
C) Prescriptive analytics
D) Descriptive analytics
5. How does Six Sigma relate to a firm's application of a control chart?
A) It continually measures processes and outputs.
B) It measures supplier and input reliability.
C) It produces a balanced scorecard.
D) It is equivalent to linear programming.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: A |




