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

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

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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q86-Q91):

NEW QUESTION # 86
What is a statistical process control procedure for a drill manufacturer?

Answer: D

Explanation:
Statistical process control (SPC)focuses on monitoring production processes to ensure they remain within acceptable limits. In data-driven decision making, SPC uses control charts and statistical measures to detect variation and identify whether a process is operating as intended.
For a drill manufacturer, determining whether theweight of selected drills is within a tolerable rangeis a classic SPC activity. Consistent weight indicates stable materials and manufacturing processes, while deviations may signal defects or process drift.
Market segmentation and demand forecasting are strategic analytics tasks, not process control activities.
Collaborative planning forecasting and replenishment relates to supply chain coordination rather than manufacturing quality control.
Therefore, the correct answer isB, as SPC is concerned with maintaining process consistency and product quality.


NEW QUESTION # 87
Which tool is often referred to as a fishbone chart or diagram?

Answer: D

Explanation:
Thecause-and-effect diagram, also known as thefishbone diagramorIshikawa diagram, is used to identify potential causes of a problem. In data-driven decision making, it helps teams systematically explore root causes rather than focusing on symptoms.
The diagram visually organizes possible causes into categories such as people, processes, materials, machines, and environment. Histograms show distributions, flowcharts depict process steps, and scatter diagrams show relationships between variables.
Therefore, the correct answer isC, cause-and-effect diagram.


NEW QUESTION # 88
Research data indicate 95% confidence in a study in which subjects who were shown a product advertisement exhibited brand awareness compared to a control group who did not see the advertisement.
What can be concluded from this study?

Answer: C


NEW QUESTION # 89
Research data indicate 95% confidence in a study in which subjects who were shown a product advertisement exhibited brand awareness compared to a control group who did not see the advertisement.
What can be concluded from this study?

Answer: C

Explanation:
A 95% confidence result indicates a statistically significant difference between groups. Since the measured outcome isbrand awareness, the correct conclusion is that the advertisement was effective in increasing brand awareness.
Confidence levels do not measure sales, preference, or dislike. Therefore, the correct answer isB.


NEW QUESTION # 90
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?

Answer: C

Explanation:
In regression analysis, theindependent variableis the predictor used to explain or estimate changes in another variable. In data-driven decision making, identifying the correct variable roles is essential for meaningful interpretation.
In this scenario, land availability is used to predict commute time. Commute time is the outcome being explained, making it the dependent or target variable. Land availability influences or explains changes in commute time, which makes it theindependent variable.
Controls are additional variables included to isolate effects, but land availability is the primary predictor of interest. Therefore, optionCis correct.


NEW QUESTION # 91
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