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

Section	Weight	Objectives
Topic 1: Probability & Statistical Inference	20%	- Correlation vs. causation - Probability rules, distributions, expected value - Hypothesis testing, p-values, confidence intervals
Topic 2: Statistical Concepts & Descriptive Analytics	25%	- Data types, measurement scales, sampling methods - Measures of central tendency, dispersion, distribution - Data visualization: charts, graphs, dashboards
Topic 3: Foundations of Data-Driven Decision Making	20%	- Types of analytics: descriptive, predictive, prescriptive - Role of data in business decisions - Ethics, privacy, and data governance
Topic 4: Decision Models & Prescriptive Analytics	15%	- Quality & process improvement tools - Optimization, sensitivity analysis - Decision trees, payoff matrices, expected value
Topic 5: Predictive Analytics & Regression	20%	- Interpreting coefficients, R-squared, significance - Simple & multiple linear regression - Forecasting & trend analysis

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Data-Driven-Decision-Making Practice Guide & Data-Driven-Decision-Making Minimum Pass Score

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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q37-Q42):

NEW QUESTION # 37
What is the 80/20 rule associated with a Pareto chart?

A. Twenty percent of quality management problems result from 80% of causes.
B. Eighty percent of quality management problems can be explained by the other 20% of the problems.
C. Twenty percent of quality management problems can be explained by the other 80% of the problems.
D. Eighty percent of quality management problems result from 20% of causes.

Answer: D

Explanation:
The80/20 rule, or Pareto principle, states that80% of problems result from 20% of causes. In data-driven decision making, this concept helps organizations prioritize efforts where they will have the greatest impact.
Pareto charts visually demonstrate this principle by showing that a small number of factors contribute disproportionately to overall problems. By addressing these critical few causes, organizations can achieve significant improvements with focused effort.
Therefore, the correct answer isD.

NEW QUESTION # 38
Which distribution would have a mean and median that are approximately equal after an analysis of each employee's number of customer service calls over the last month?

A. Pareto distribution
B. Multimodal distribution
C. Normal distribution
D. Bimodal distribution

Answer: C

Explanation:
In anormal distribution, data is symmetrically distributed around the center, causing the mean and median to be approximately equal. This is a fundamental property emphasized in data-driven decision making.
Skewed distributions, such as Pareto, cause the mean and median to differ significantly. Therefore, the correct answer isA.

NEW QUESTION # 39
Which process is designed to proactively prevent a problem?

A. Common cause variation activity
B. Plan-do-check-act activity
C. Quality control
D. Quality assurance

Answer: D

Explanation:
Quality assurance is the process designed to proactively prevent problems before they occur. It focuses on improving the systems, procedures, and standards used to produce outcomes so that defects, errors, or failures are less likely to happen in the first place. This preventive orientation distinguishes quality assurance from quality control, which is more concerned with identifying defects after or during production through inspection and monitoring. Common cause variation refers to the natural variability present in a stable process and is not itself a preventive process. The plan-do-check-act cycle is a structured improvement framework, but it is broader and not the specific term used to describe proactive prevention. In data-driven decision- making and quality management, assurance activities often include standardizing procedures, training employees, documenting workflows, and building reliable systems that reduce variation and improve consistency. Because the question asks which process is specifically designed to act proactively, the best answer is quality assurance. It aims to stop issues before they occur, making it a preventive rather than reactive approach.

NEW QUESTION # 40
Which tool sorts data into categories to help teams identify the most significant factors that contribute the most to problems?

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

Answer: D

Explanation:
APareto chartsorts data into categories and ranks them by frequency or impact. In data-driven decision making, this helps teams focus on the most significant contributors to a problem.
The chart combines bars and a cumulative line to highlight which factors account for the largest share of issues. This aligns with the Pareto principle and supports prioritization of improvement efforts.
Run charts track data over time, flowcharts describe processes, and cause charts are not a standard quality tool. Therefore, the correct answer isC.

NEW QUESTION # 41
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 specialty store increases its advertising expenditures, it will decrease the big box store's sales.
C. If the big box store increases its advertising expenditures, its sales will decrease.
D. If the big box store decreases its advertising expenditures, it will decrease the big box store's sales.

Answer: B

NEW QUESTION # 42
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