Data-Driven-Decision-Making考證，Data-Driven-Decision-Making熱門題庫

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最實用的WGU Data-Driven-Decision-Making考古題

VCESoft為考生提供真正有效的考試學習資料，充分利用我們的WGU Data-Driven-Decision-Making題庫問題和答案，可以節約您的時間和金錢。考生需要深入了解學習我們的Data-Driven-Decision-Making考古題，為獲得認證奠定堅實的基礎，您會發現這是真實有效的，全球的IT人員都在使用我們的Data-Driven-Decision-Making題庫資料。快來購買Data-Driven-Decision-Making考古題吧！如果您想要真正的考試模擬，那就選擇我們的Data-Driven-Decision-Making題庫在線測試引擎版本，支持多個設備安裝，還支持離線使用。

最新的 Courses and Certificates Data-Driven-Decision-Making 免費考試真題 (Q35-Q40):

問題 #35
What results from starting an analysis with flawed data?
Choose 2 answers.

答案：B,D

解題說明：
Starting an analysis with flawed data significantly undermines the effectiveness of data-driven decision making. One major consequence is that more 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 that missing 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 are B and D.


問題 #36
A student is surveying chief executive officers to understand their levels of satisfaction with work-life balance over a period of three years. The student receives responses to a survey with a question regarding how many hours a week each CEO works. Which statistical approach should be used to summarize the data for analysis?

答案：D

解題說明：
The question asks how to summarize responses about how many hours each CEO works per week. Since hours worked is a numerical variable, a measure of central tendency is appropriate for summarizing the data.
The mean is the standard choice for describing the average number of hours worked across respondents. It provides a single representative value that can be used to understand the general workload pattern in the group. A bell curve is a distribution shape rather than a summary statistic. A scatterplot is a graphical tool used to display relationships between two quantitative variables, not to summarize one variable's central value. The median can also summarize numerical data, especially if there are strong outliers, but the most direct and standard summary for average hours worked is the mean unless the question specifically emphasizes skewness or resistance to outliers. Since the prompt asks for a statistical approach to summarize the data for analysis, the best answer is mean.


問題 #37
Two vendors sell a dozen raw materials that a company needs to build its products. Which type of analysis should be used to determine if one of the vendors has a better average price at a given point in time?

答案：C

解題說明：
To determine whether one vendor has a better average price than another, the company should use data analysis. This is the broad analytical approach that involves collecting pricing information, organizing the values, comparing averages, and possibly applying additional statistical methods to evaluate the difference.
The task is numerical and evidence-based, making data analysis the correct and most complete choice.
Heuristic analysis usually refers to rule-of-thumb decision methods rather than direct statistical comparison.
Background analysis is not the standard term for comparing measurable pricing information. Graphical analysis may help visualize price differences, but graphs alone do not fully describe the method needed to determine average pricing performance. Because the question asks which type of analysis should be used to compare average price, the answer is the one that directly refers to analyzing the numerical data itself.
Therefore, the correct answer is data analysis.


問題 #38
A sample of 1,020 people was asked how many minutes they exercise on a typical day. The data were plotted and determined to beskewed leftwith a mean of 44.75 minutes.
Which boxplot correctly graphs this data?

答案：A


問題 #39
A laboratory uses a graduated cylinder to measure liquid volume in metric units. Which type of experimental design is this laboratory implementing?

答案：B

解題說明：
A laboratory measuring liquid volume with a graduated cylinder in metric units is using quantitative research because the process involves numerical measurement and objective data collection. Quantitative research is concerned with collecting measurable data that can be analyzed statistically or compared using mathematical methods. In this case, the volume of liquid is expressed in standard units such as milliliters or liters, making it a clear numerical variable. Qualitative research, by contrast, focuses on descriptions, experiences, opinions, or non-numeric observations. "Development research" and "precision research" are not the best classifications for the method described in the question. The central feature here is that the laboratory is collecting measurable, numerical data using an instrument designed for exact observation. This aligns directly with the principles of quantitative analysis, where standardization, objectivity, and repeatability are essential. Such measurement-based methods are foundational in scientific experiments, industrial testing, and evidence-based decision-making because they allow researchers to compare results consistently and apply statistical reasoning to their findings.


問題 #40
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最新更新的Data-Driven-Decision-Making考證和資格考試領導者和優秀考試的Data-Driven-Decision-Making熱門題庫

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