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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q19-Q24):

NEW QUESTION # 19
Which element of an experimental study is described as the procedures applied to each subject?

Answer: A

Explanation:
In an experimental study,treatmentsare defined as the specific procedures or conditions applied to each subject or experimental unit. This is a fundamental concept in experimental design within data-driven decision making and inferential statistics.
Experimental units are the subjects or entities being studied, such as individuals, machines, or products.
Responses are the measured outcomes observed after the treatment is applied. Inputs are factors or variables that may influence the experiment but are not the procedures themselves. Treatments, however, represent the deliberate interventions introduced by the researcher to study their effect on the response variable.
For example, in a pricing experiment, different price levels applied to customers would be considered treatments. In a manufacturing experiment, different machine settings would serve as treatments. By systematically varying treatments, analysts can determine causal relationships between variables.
Data-driven decision making relies on well-designed experiments to support valid conclusions. Clearly defining treatments ensures that the effects of specific actions can be isolated, measured, and analyzed accurately. Therefore, the correct answer isC, as treatments describe the procedures applied to each subject.


NEW QUESTION # 20
A researcher wants to estimate the average wholesale price of a gallon of gas in the United States. Several gas station owners along the East Coast are asked what price they pay wholesale for a gallon of gas. The researcher then averages these values for the sample mean price of a gallon of gas. Which problem would be discovered if this researcher's work were evaluated?

Answer: D

Explanation:
The key problem in this study is that the sample is not representative of the entire population. The researcher is attempting to estimate the average wholesale gas price for the whole United States, but only collects data from gas station owners along the East Coast. Because regional gas prices can differ due to transportation costs, taxes, regulations, supply conditions, and market structure, using only one geographic area creates a sampling problem. A representative sample should reflect the diversity of the full population being studied. In this case, the population includes gas stations from all parts of the country, not just one region. There is no information suggesting faulty calibration, since no measuring instrument is involved. Response bias is also not the primary issue because the scenario does not indicate that respondents are misreporting prices.
Conscious bias is less appropriate because the most obvious flaw is the limited sampling frame. This is a classic example of sampling bias caused by undercoverage. Therefore, the correct answer is that the sample data are not representative of the population.


NEW QUESTION # 21
A nonprofit organization ran a fundraiser and would like to determine the amount of a typical donation.
Which statistic is less affected by outliers and skewed data and should be used to determine the amount of a typical donation?

Answer: A

Explanation:
In data-driven decision making, themedianis the preferred measure of central tendency when data contain outliers or are skewed. Fundraising donation amounts often exhibit right-skewed distributions, where a small number of very large donations can significantly inflate the mean. Using the mean in such cases may misrepresent what a "typical" donor gives.
The median represents the middle value when donation amounts are ordered from smallest to largest. Because it depends only on position rather than magnitude, it isrobust to extreme values. This makes it especially useful for summarizing typical behavior in skewed financial data.
The mean is sensitive to outliers, the z-score measures standardized distance from the mean, and the mode identifies the most frequent value but may not reflect central tendency in continuous donation data. Therefore, the statistic that best represents a typical donation amount is themedian, making optionCcorrect.


NEW QUESTION # 22
What are two benefits of good data quality management in improving business decision-making?
Choose 2 answers.

Answer: A,C

Explanation:
Good data quality management plays a critical role in improving business decision-making by ensuring that data is accurate, complete, and reliable. One key benefit is that itensures there are no missing data points, which helps maintain data completeness. Missing data can distort results, reduce analytical power, and lead to incorrect conclusions, especially in descriptive and inferential statistics.
Another important benefit is that data quality managementmitigates undetected errors from the data-entry process. Errors such as duplicate entries, incorrect values, or inconsistent formats can significantly bias analysis if left unnoticed. Through validation checks, cleaning procedures, and governance standards, organizations reduce the risk of flawed insights.
While good data quality supports better analysis, it does not guarantee statistical significance, as significance depends on sample size, variability, and study design. Similarly, it does not necessarily make the statistical process faster; in fact, data cleaning can be time-consuming. However, it improves theaccuracy and trustworthinessof outcomes.
In data-driven decision making, high-quality data is essential because decisions are only as good as the data used to support them. Therefore, the correct answers areA and D.


NEW QUESTION # 23
Which tool is often referred to as a fishbone chart or diagram?

Answer: D

Explanation:
Thecause-and-effect diagram, also known as thefishbone diagramorIshikawa diagram, is used to identify potential causes of a problem. In data-driven decision making, it helps teams systematically explore root causes rather than focusing on symptoms.
The diagram visually organizes possible causes into categories such as people, processes, materials, machines, and environment. Histograms show distributions, flowcharts depict process steps, and scatter diagrams show relationships between variables.
Therefore, the correct answer isC, cause-and-effect diagram.


NEW QUESTION # 24
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