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Title: Free PDF Quiz WGU - Data-Driven-Decision-Making - VPC2Data-Driven Decision Makin [Print This Page]
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Title: Free PDF Quiz WGU - Data-Driven-Decision-Making - VPC2Data-Driven Decision Makin
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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q41-Q46):NEW QUESTION # 41
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 # 42
What results from starting an analysis with flawed data?
Choose 2 answers.
Answer: A,D
Explanation:
Starting an analysis with flawed data significantly undermines the effectiveness of data-driven decision making. One major consequence is thatmore time is spent managing data than analyzing data. Analysts must devote substantial effort to cleaning, validating, and correcting errors before meaningful analysis can occur, delaying insights and increasing costs.
Another critical result is thatmissing data tend to skew the results of the analysis. Incomplete data can distort averages, trends, and statistical relationships, leading to biased conclusions and unreliable decisions.
This is especially problematic in predictive and inferential analytics, where assumptions about data completeness are essential.
Using spreadsheets or placing data in charts does not inherently result from flawed data, nor does it resolve data quality issues. While visualization can help identify errors, it is not a direct outcome of starting with flawed data.
Data-driven decision making emphasizes that poor-quality input leads to poor-quality output. Ensuring data accuracy and completeness before analysis is essential for producing valid insights. Therefore, the correct answers areB and D.

NEW QUESTION # 43
A professional services firm is undergoing a business process improvement exercise to improve productivity, staff morale, and client satisfaction while also thinking about the overall long-term financial performance of the company.
Which performance tool would best meet this firm's objectives?
Answer: A
Explanation:
Thebalanced scorecardis the most appropriate performance tool for this scenario because it integrates financial and nonfinancial performance measuresinto a single framework. In data-driven decision making, the balanced scorecard supports a holistic view of organizational performance.
The firm's objectives include productivity (internal processes), staff morale (learning and growth), client satisfaction (customer perspective), and long-term financial performance (financial perspective). The balanced scorecard explicitly incorporates all these dimensions, ensuring alignment between strategic goals and operational execution.
Net promoter score focuses only on customer loyalty, results-based management emphasizes outcomes but lacks multi-perspective integration, and KPI dashboards may display metrics but do not inherently provide strategic balance.
Therefore, the correct answer isC, balanced scorecard.

NEW QUESTION # 44
What happens when an organization focuses on customers?
Answer: B
Explanation:
A strong customer focus leads toincreased revenue and market share, which is a key principle in data- driven decision making and quality management. Organizations that prioritize customer needs are better positioned to deliver value, improve satisfaction, and build long-term relationships.
By understanding customer preferences, behavior, and feedback through analytics, organizations can tailor products and services more effectively. This alignment increases customer loyalty, repeat business, and positive word-of-mouth, all of which contribute to revenue growth and competitive advantage.
While focusing on customers may also improve efficiency, reduce bias, or lower costs, these outcomes are secondary benefits rather than the primary result. The most direct and measurable impact of customer focus is improved financial performance.
Therefore, the correct answer isC, as customer-focused organizations tend to experience higher revenue and expanded market share.

NEW QUESTION # 45
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 # 46
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These findings are particularly distressing given that Data-Driven-Decision-Making the report points out that Gaining and keeping customers remain the top marketing goals for small businesses.
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