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WGU Data-Driven-Decision-Making Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Decision Models & Prescriptive Analytics15%- Decision trees, payoff matrices, expected value
- Optimization, sensitivity analysis
- Quality & process improvement tools
Topic 2: Foundations of Data-Driven Decision Making20%- Ethics, privacy, and data governance
- Role of data in business decisions
- Types of analytics: descriptive, predictive, prescriptive
Topic 3: Probability & Statistical Inference20%- Probability rules, distributions, expected value
- Correlation vs. causation
- Hypothesis testing, p-values, confidence intervals
Topic 4: Predictive Analytics & Regression20%- Interpreting coefficients, R-squared, significance
- Simple & multiple linear regression
- Forecasting & trend analysis
Topic 5: Statistical Concepts & Descriptive Analytics25%- Data types, measurement scales, sampling methods
- Measures of central tendency, dispersion, distribution
- Data visualization: charts, graphs, dashboards

WGU VPC2Data-Driven Decision MakingC207 Sample Questions:

1. An analyst used multiple linear regression to show how a big box store's sales (y) are predicted by the big box store's advertising expenditure in dollars (variable x1) and the advertising expenditure in dollars of a specialty store (variable x2) in the same market. The estimated regression is y = 651.57 + 92.30x1 # 26.89x2. How are advertising expenditures and sales related in this scenario?

A) If the big box store decreases its advertising expenditures, its sales will increase.
B) If the big box store increases its advertising expenditures, its sales will decrease.
C) If the specialty store increases its advertising expenditures, it will decrease the big box store's sales.
D) If the big box store decreases its advertising expenditures, it will decrease the big box store's sales.


2. An analyst used multiple linear regression to show how a big box store's sales (y) are predicted by the big box store's advertising expenditure in dollars (variable x1) and the advertising expenditure in dollars of a specialty store (variable x2) in the same market. The estimated regression is y = 651.57 + 92.30x1 # 26.89x2. How are advertising expenditures and sales related in this scenario?

A) If the big box store decreases its advertising expenditures, its sales will increase.
B) If the big box store increases its advertising expenditures, its sales will decrease.
C) If the specialty store increases its advertising expenditures, it will decrease the big box store's sales.
D) If the big box store decreases its advertising expenditures, it will decrease the big box store's sales.


3. Which tool sorts data into categories to help teams identify the most significant factors that contribute the most to problems?

A) Pareto chart
B) Flowchart
C) Cause chart
D) Run chart


4. A political ballot gives voters the option to vote for one of three candidates. Eight voters cast their ballots.
Which statistical rule should be used to determine the possible voting outcomes?

A) Combination
B) Bayes ' theorem
C) Multiplication principle
D) Conditional probability


5. A student is surveying chief executive officers to understand their levels of satisfaction with work-life balance over a period of three years. The student receives responses to a survey with a question regarding how many hours a week each CEO works. Which statistical approach should be used to summarize the data for analysis?

A) Bell curve
B) Median
C) Mean
D) Scatterplot


Solutions:

Question # 1
Answer: C
Question # 2
Answer: C
Question # 3
Answer: A
Question # 4
Answer: C
Question # 5
Answer: C

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