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WGU Data-Driven-Decision-Making Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: Probability and Statistical Inference | - Sampling methods and sampling error
- Probability concepts and distributions
|
| Topic 2: Decision Making Models | - Risk and uncertainty in decision-making
- Decision trees and expected value analysis
|
| Topic 3: Data Fundamentals and Business Analytics | - Data types and data collection methods
- Descriptive statistics (mean, median, variance, standard deviation)
|
| Topic 4: Hypothesis Testing | - Null and alternative hypotheses
- t-tests, chi-square tests, and significance testing
|
| Topic 5: Regression and Correlation Analysis | - Linear regression modeling
- Interpreting correlation and causation
|
WGU VPC2Data-Driven Decision MakingC207 Sample Questions:
1. What is a disadvantage of using a balanced scorecard?
A) It is expensive to implement effectively within an organization's operations.
B) It requires time and effort to develop a meaningful template.
C) It does not include a mix of financial and nonfinancial performance measures.
D) It does not link operations with company strategy.
2. An electronics retailer was presented with in-store signage in two formats. Each branch of the store used the signage that matched its location. An analysis was performed to compare means on sales. Which type of variable do the sales represent?
A) Criterion variable
B) Dependent variable
C) Target variable
D) Independent variable
3. Two vendors sell a dozen raw materials that a company needs to build its products. Which type of analysis should be used to determine if one of the vendors has a better average price at a given point in time?
A) Data analysis
B) Heuristic analysis
C) Background analysis
D) Graphical analysis
4. Which two characteristics must a researcher consider concerning data quality when ensuring that an analysis is based on a clean data set?
Choose 2 answers.
A) The data cannot contain outliers.
B) The data must be relevant.
C) The data elements must be unique.
D) The age of the data does not matter if the data are complete.
5. A financial analyst theorizes that commute times increase as the percentage of land availability for homes in a city decreases. To test this hypothesis, the analyst uses a regression analysis to explore how land availability predicts commute time.
What does land availability represent in this regression?
A) It is the dependent variable.
B) It is the independent variable.
C) It is a control.
D) It is the target variable.
Solutions:
Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: B,C | Question # 5 Answer: B |