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

Section	Objectives
Hypothesis Testing	- t-tests, chi-square tests, and significance testing - Null and alternative hypotheses
Data Fundamentals and Business Analytics	- Data types and data collection methods - Descriptive statistics (mean, median, variance, standard deviation)
Regression and Correlation Analysis	- Linear regression modeling - Interpreting correlation and causation
Decision Making Models	- Risk and uncertainty in decision-making - Decision trees and expected value analysis
Probability and Statistical Inference	- Probability concepts and distributions - Sampling methods and sampling error

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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q112-Q117):

NEW QUESTION # 112
A school board has nine voting members. Five members need to be chosen each year for the finance committee. Why should the combination technique be used when selecting committee members?

A. Because there is not a correlation between committee member meeting attendance and selection
B. Because the selection order of committee members is important
C. Because the selection order of committee members is not important
D. Because there is a correlation between committee member meeting attendance and selection

Answer: C

Explanation:
The combination technique is appropriate when selecting items or people from a group and the order of selection does not matter. In this case, five members are being chosen from nine voting members to serve on the finance committee. What matters is which five individuals are selected, not the sequence in which their names are chosen. Combinations are used precisely for this type of situation because they count unique groups without regard to arrangement. If order did matter, then a permutation approach would be required instead. The options referring to correlation and meeting attendance are unrelated to the mathematical reason for using combinations. This is a straightforward committee-selection problem, which is one of the most common applications of combinations in probability and counting methods. Recognizing whether order matters is the essential step in choosing between combinations and permutations. Since a finance committee is defined by its membership rather than by the order in which members were picked, the correct answer is that the selection order of committee members is not important.

NEW QUESTION # 113
Which use of statistics would apply to employees?

A. Predicting future levels of financial risk
B. Comparing with competitors on wholesale pricing
C. Determining financial interest rates
D. Influencing future vendor prices

Answer: A

Explanation:
Statistics can be applied to employees and organizations in many ways, but among the choices given, predicting future levels of financial risk is the best fit for a practical statistical use. Organizations often use statistical models to evaluate uncertainty related to staffing, benefits, payroll obligations, productivity changes, turnover, insurance exposure, and broader business performance. These analyses help managers make more informed decisions about budgeting, hiring, workforce planning, and operational resilience. The other options are less directly tied to employee-related statistical application. Influencing vendor prices and comparing wholesale pricing are more related to procurement and market analysis than to employees.
Determining financial interest rates generally falls under financial markets, lending, or macroeconomic policy rather than an employee-centered use of statistics. In a data-driven environment, statistical tools are frequently used to forecast risk and evaluate future scenarios so that organizations can protect resources and plan responsibly. Therefore, predicting future levels of financial risk is the most accurate answer because it reflects a recognized analytical application of statistics within organizational decision-making.

NEW QUESTION # 114
How should a marketing consulting firm perform a cluster analysis for a new granola bar?

A. Determine competitor benchmarks and forecasts for comparison
B. Determine the reasons for consumer granola bar purchases
C. Determine the different segments or groups to target
D. Determine whether there are any granola bar sales trends

Answer: C

NEW QUESTION # 115
Why would a human resources department use both mean and median when doing a salary evaluation of a department?

A. A large difference between mean and median shows a miscalculation in the analysis.
B. A large difference between mean and median shows an abnormal standard deviation.
C. A large difference between mean and median shows there are outliers to assess.
D. A large difference between mean and median shows that some employees need raises.

Answer: C

Explanation:
Using both mean and median helps identifyoutliers, such as very high executive salaries that skew the average. A large difference between the two indicates uneven distribution.
Thus, the correct answer isC.

NEW QUESTION # 116
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

Answer: A

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 # 117
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