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WGU Data-Driven-Decision-Making Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Analytics & Regression | 20% | - Forecasting & trend analysis - Simple & multiple linear regression - Interpreting coefficients, R-squared, significance |
| Topic 2: 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 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: Probability & Statistical Inference | 20% | - Hypothesis testing, p-values, confidence intervals - Correlation vs. causation - Probability rules, distributions, expected value |
| Topic 5: Decision Models & Prescriptive Analytics | 15% | - Optimization, sensitivity analysis - Quality & process improvement tools - Decision trees, payoff matrices, expected value |
WGU VPC2Data-Driven Decision MakingC207 Sample Questions:
Question 1
What are random errors caused by?
A. Respondents favoring certain outcomes
B. Unpredictable fluctuations in readings
C. An instrument that needs calibration
D. Biased data
Question 2
How do a run chart and a control chart differ?
A. They are the same, except a control chart includes limits or constraints that a process should not exceed.
B. A control chart reveals trends in manufacturing problems over time, whereas a run chart is essentially a snapshot in time.
C. They are the same, except a run chart includes limits or constraints that a process should not exceed.
D. A run chart reveals trends in manufacturing problems over time, whereas a control chart is essentially a snapshot in time.
Question 3
Which type of analysis determines whether there was a significant difference in the average donor solicitation amount between three nonprofit hospital events?
A. Time series
B. ANOVA
C. Cluster
D. Logistic regression
Question 4
What are two benefits of good data quality management in improving business decision-making?
Choose 2 answers.
A. It guarantees that a sample will be statistically significant.
B. It ensures there are no missing data points.
C. It mitigates undetected errors from the data-entry process.
D. It begins the statistical process faster.
Question 5
What does prevalence measure when studying disease frequency?
A. Only past cases of a disease
B. Only new cases of a disease
C. All existing cases of a disease
D. Potential future cases of a disease
Solutions:
| Question 1 Answer: B | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: B,C | Question 5 Answer: C |
