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[General] Latest WGU Data-Driven-Decision-Making Test Cost - Latest Data-Driven-Decision-M

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【General】 Latest WGU Data-Driven-Decision-Making Test Cost - Latest Data-Driven-Decision-M

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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q17-Q22):NEW QUESTION # 17
Which two results occur when the null hypothesis is accepted using an F-test?
Choose 2 answers.
  • A. The test statistic is less than the critical value.
  • B. There appears to be no difference between the two samples.
  • C. There appears to be a difference between the two samples.
  • D. The test statistic is greater than the critical value.
Answer: A,B
Explanation:
When the null hypothesis is accepted in anF-test, it indicates that there is no statistically significant difference between group variances or means, depending on the test design. Acceptance occurs when thetest statistic is less than the critical value, meaning the observed variation is within expected limits.
Accepting the null hypothesis implies thatno meaningful differenceexists between the samples. If the test statistic exceeded the critical value, the null hypothesis would be rejected.
Thus, the correct results areA and D.

NEW QUESTION # 18
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?
  • A. Median number of projects completed last year
  • B. Average cost per project spent by other similar counties
  • C. Median cost for all county projects
  • D. Average number of projects completed
Answer: B
Explanation:
To guide budgeting decisions, data-driven decision making emphasizesbenchmarking against comparable organizations. Using theaverage cost per project spent by other similar countiesallows the county to assess whether its planned expenditures are reasonable and competitive.
Benchmarking provides external context that internal historical metrics cannot. While median costs or project counts describe internal performance, they do not indicate whether spending levels are appropriate relative to peers. Comparing average costs across similar counties helps identify inefficiencies, cost-saving opportunities, and realistic budget targets.
Therefore, optionAis the most effective analytic method for cost-based decision-making in this scenario.

NEW QUESTION # 19
A patient satisfaction survey was conducted at Family Practice A. The average rating of online telemedicine visits was 4.5 out of 5, while in-person visits received a 3.0 out of 5.
Which samples should be used to compare the ratings?
  • A. Online ratings of other family practices and online ratings for all Family Practice A visits
  • B. Online Family Practice A telemedicine visits and in-person Family Practice A visits
  • C. Total Family Practice A visits and in-person visits
  • D. Total Family Practice A visits and online telemedicine visits
Answer: B
Explanation:
To make a valid comparison in data-driven decision making, samples must becomparable and drawn from the same population, differing only in the factor being evaluated. In this case, the goal is to compare patient satisfaction between online telemedicine visits and in-person visits atFamily Practice A.
Usingonline Family Practice A telemedicine visits and in-person Family Practice A visitsensures that both samples come from the same organization, patient base, and survey methodology. This controls for external factors such as practice standards, demographics, and survey design, allowing differences in ratings to be attributed to the visit type rather than unrelated variables.
Comparing total visits to only one visit type introduces imbalance. Including other family practices introduces external variation and invalidates the comparison. Data-driven decision making stresses consistency and relevance in sample selection to ensure accurate conclusions.
Therefore, the correct answer isD, as it uses comparable samples that isolate the variable of interest.

NEW QUESTION # 20
How do analytics help an organization?
  • A. They assist with investment management.
  • B. They increase employees' use of information systems.
  • C. They develop fact-based strategies.
  • D. They use data to persuade consumers.
Answer: C
Explanation:
Analytics help organizations primarily by enabling the development offact-based strategies, which is a central principle of data-driven decision making. Rather than relying on intuition, assumptions, or anecdotal evidence, analytics allows organizations to systematically analyze data to understand performance, identify opportunities, manage risks, and support strategic decisions.
Through descriptive analytics, organizations gain insight into historical performance andoperational efficiency. Predictive analytics enables them to anticipate future trends, customer behavior, and potential outcomes. Prescriptive analytics further supports decision-making by recommending optimal actions under various constraints. Together, these approaches transform raw data into actionable insights that guide strategic planning and execution.
While analytics may support investment management, marketing, or information systems usage, these are specific applications, not the fundamental organizational benefit. Analytics is not primarily used to persuade consumers, nor is its main objective to increase system usage among employees. Instead, its value lies in improving decision quality by grounding strategies in empirical evidence.
In data-driven decision-making frameworks, analytics serves as a structured approach to aligning data, models, and business objectives. By developing strategies based on verified data and analytical methods, organizations reduce uncertainty, improve performance, and gain competitive advantage. Therefore, the correct answer isC, as analytics enable organizations to developfact-based strategies.

NEW QUESTION # 21
What is a statistical process control procedure for a drill manufacturer?
  • A. Forecasting future consumer demand for its drills
  • B. Implementing collaborative planning forecasting and replenishment
  • C. Determining the different market segments for its drills
  • D. Determining whether the weight of selected drills is within a tolerable range
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 # 22
......
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