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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q14-Q19):
NEW QUESTION # 14
What is an omission error?
- A. When not all the data has been reviewed
- B. When data is inaccurate
- C. When crucial data is missing
- D. When data contains outliers
Answer: C
Explanation:
Anomission erroroccurs whencrucial data is missingfrom a dataset, which can significantly compromise the quality of analysis and decision-making. In data-driven decision making, omission errors are a serious concern because missing information can lead to biased results, incorrect interpretations, and flawed conclusions.
Omission errors may arise during data collection, data entry, or data integration processes. For example, failing to record customer demographics, transaction values, or time periods can distort descriptive statistics and weaken predictive models. Unlike inaccuracies, which involve incorrect values, omission errors involve the absence of necessary data altogether.
Outliers represent extreme values and are not omission errors. Similarly, failing to review all data is a process issue rather than a data-quality error definition. Inaccurate data refers to incorrect or erroneous values, not missing ones.
Effective data quality management emphasizes identifying and correcting omission errors through validation rules, completeness checks, and data audits. In data-driven decision making, ensuring that all relevant data is captured is essential for producing reliable insights and supporting sound business decisions. Therefore, the correct answer isD, as an omission error occurs when crucial data is missing.
NEW QUESTION # 15
Amusement Park W is in California. Amusement Park X is in Texas. A survey asks 1,000 people living in California if they prefer Amusement Park W or X.
Which problem exists with this survey?
- A. Measurement bias
- B. Information bias
- C. Random error
- D. Systematic error
Answer: D
Explanation:
The primary problem with this survey issystematic error, which occurs when the data collection process consistently favors certain outcomes due to flawed design. In data-driven decision making, systematic error arises when a sampling method introduces bias that skews results in a predictable direction.
In this scenario, surveying only people living in California creates a location-based bias. Respondents are far more likely to prefer Amusement Park W because it is geographically closer, more familiar, and more accessible than Amusement Park X in Texas. This bias does not occur randomly; instead, it systematically influences responses toward one option, making the results unreliable for comparing overall preferences between the two parks.
Random error would involve unpredictable variation, which is not the issue here. Measurement bias relates to how questions are asked or measured, and information bias concerns inaccurate or misleading data reporting.
The core issue is thenon-representative sample, which violates the principle of unbiased data collection.
Data-driven decision making emphasizes that valid conclusions require representative samples. Because the survey design inherently favors one outcome, the results cannot be generalized, makingsystematic errorthe correct answer.
NEW QUESTION # 16
The U.S. Postal Service wants to know if local first-class mail is being delivered within two days of postmark.
Which key performance indicator (KPI) should the Postal Service use?
- A. Employee morale index
- B. Customer satisfaction
- C. On-time performance
- D. Incentive performance rate
Answer: C
Explanation:
On-time performanceis the most appropriate KPI for measuring whether mail is delivered within a specified timeframe. In data-driven decision making, KPIs must align directly with operational objectives.
The Postal Service's goal is to assess delivery timeliness. On-time performance measures the percentage of mail delivered within the expected service standard, making it a direct and objective indicator.
Customer satisfaction and employee morale provide valuable insights but do not directly measure delivery speed. Incentive performance rate is unrelated to delivery outcomes.
Therefore, the correct answer isC, on-time performance.
NEW QUESTION # 17
A county government must increase trust among voters that their tallying machines are accurately calibrated to count their votes. Each department is tasked with creating an online marketing campaign; however, the budget for these campaigns is limited.
How can the county apply data analytic approaches to allocate funds to each department?
- A. By surveying the county controllers
- B. By measuring the number of voter complaints per department
- C. By benchmarking the voter turnout rates in each county
- D. By surveying employees on polling strategies
Answer: B
Explanation:
Allocating limited resources effectively requires identifying where needs and risks are greatest. In data-driven decision making,measuring voter complaints per departmentprovides a direct, objective indicator of trust issues and communication gaps.
Departments with higher complaint volumes may require greater outreach to restore voter confidence. Using this metric allows funds to be allocated where they will have the greatest impact. Benchmarking turnout rates does not isolate departmental needs, and surveys of controllers or employees introduce subjectivity rather than evidence-based prioritization.
Therefore, the correct answer isA.
NEW QUESTION # 18
What is an advantage of a balanced scorecard?
- A. It increases the amount of available data to analyze.
- B. It requires little effort to establish a meaningful dashboard.
- C. It emphasizes strategy and organizational results.
- D. It requires minimal data.
Answer: C
Explanation:
A balanced scorecard is valuable because it emphasizes strategy and organizational results. Rather than focusing only on short-term financial outcomes, it connects performance measurement to the organization's broader mission and long-term objectives. It encourages managers to assess performance from multiple perspectives, typically financial, customer, internal process, and learning and growth. This makes it easier to align day-to-day activities with strategic priorities and understand how actions in one area affect results in another. The other options do not describe the true strength of the balanced scorecard. It does not necessarily require little effort to set up, because meaningful implementation often takes planning, metric selection, and alignment across departments. It also does not require minimal data, nor is its purpose simply to increase the amount of data available. Its main benefit is that it helps organizations translate strategy into measurable outcomes and track whether they are achieving the results that matter most. Therefore, the correct answer is that it emphasizes strategy and organizational results.
NEW QUESTION # 19
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