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

SectionObjectives
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
Regression and Correlation Analysis- Interpreting correlation and causation
- Linear regression modeling
Hypothesis Testing- Null and alternative hypotheses
- t-tests, chi-square tests, and significance testing
Data Fundamentals and Business Analytics- Data types and data collection methods
- Descriptive statistics (mean, median, variance, standard deviation)

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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q41-Q46):

NEW QUESTION # 41
A county government is creating a budget for the next fiscal year. They wish to use analytics to guide their decisions about costs. Which analytic method can the county apply to this issue?

Answer: C

Explanation:
When a county government wants to guide budgeting decisions about costs, a useful analytic method is benchmarking against comparable organizations. The best answer is average cost per project spent by other similar counties because it provides an external reference point that can help evaluate whether the county's own spending is reasonable, efficient, or out of line with peers. This type of comparative analytics is especially valuable in public-sector budgeting, where governments often seek cost-effective practices and want to justify expenditures based on comparable performance. The number of projects completed, whether measured by median or average, does not directly address cost decisions. Median cost for all county projects may summarize internal spending, but it does not offer the broader perspective available from comparison with similar counties. Benchmarking external averages supports better resource planning and helps identify opportunities for improvement. Therefore, the correct answer is average cost per project spent by other similar counties.


NEW QUESTION # 42
What are two qualities of key performance indicators (KPIs)?
Choose 2 answers.

Answer: C,D

Explanation:
Key performance indicators (KPIs) are designed to measure progress toward strategic objectives. In data- driven decision making, effective KPIs arestable, meaningful, and aligned with organizational goalsrather than frequently changing.
One important quality of KPIs is that theycan be used for internal benchmarking, allowing organizations to compare performance across departments, time periods, or projects. This helps identify best practices and performance gaps.
Another defining characteristic is that KPIs often followSMART criteria-Specific, Measurable, Achievable, Relevant, and Time-bound. These criteria ensure KPIs are clearly defined and actionable.
KPIs are not meant to be easily changed, as frequent changes undermine consistency and comparability. They also require ongoing monitoring and maintenance to remain relevant and accurate.
Therefore, the correct answers areB and D.


NEW QUESTION # 43
How should a marketing consulting firm perform a cluster analysis for a new granola bar?

Answer: B


NEW QUESTION # 44
For which situation could a scatter diagram be used?

Answer: A

Explanation:
Ascatter diagramis used to visually examine therelationship between two quantitative variables. In data- driven decision making, scatter diagrams help analysts assess whether variables move together, whether the relationship is positive, negative, or nonexistent, and whether the relationship appears linear or nonlinear.
Each point on a scatter diagram represents a paired observation of two variables, such as advertising spend and sales revenue or hours studied and test scores. Patterns in the plotted points can suggest correlation, which may later be explored using regression analysis. Scatter diagrams are exploratory tools and do not, by themselves, establish causation.
A prioritization matrix ranks options, frequency differences are examined using bar or Pareto charts, and differences in means are evaluated using hypothesis tests such as t-tests or ANOVA. Therefore, the correct application of a scatter diagram is to demonstraterelationships between variables, making optionBcorrect.


NEW QUESTION # 45
How do a run chart and a control chart differ?

Answer: A

Explanation:
A run chart and a control chart are similar in that both display data over time, making it possible to observe trends, shifts, or recurring patterns in a process. The key difference is that a control chart includes control limits, or constraints, that define the expected range of normal variation for the process. These limits help analysts determine whether the process is statistically stable or whether unusual variation may signal a problem that requires attention. A run chart does not include those control boundaries; it simply displays the values in time order. Because of this, the correct description is that the two charts are essentially the same in structure, except a control chart includes limits or constraints that a process should not exceed. The options that describe one as a snapshot in time are incorrect because both are time-based charts. Therefore, the correct answer is the option identifying the control chart as the version that adds limits or thresholds for process monitoring.


NEW QUESTION # 46
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