Data-Driven-Decision-Making높은통과율덤프자료, Data-Driven-Decision-Making최신덤프데모다운

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Data-Driven-Decision-Making높은 통과율 덤프자료, Data-Driven-Decision-Making최신 덤프데모 다운, Data-Driven-Decision-Making완벽한 공부자료, Data-Driven-Decision-Making최신버전 공부문제, Data-Driven-Decision-Making인기자격증 인증시험자료

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WGU Data-Driven-Decision-Making Exam Syllabus Topics:

Section Objectives
Decision Making Models - Decision trees and expected value analysis
- Risk and uncertainty in decision-making
Hypothesis Testing - t-tests, chi-square tests, and significance testing
- Null and alternative hypotheses
Regression and Correlation Analysis - Interpreting correlation and causation
- Linear regression modeling
Data Fundamentals and Business Analytics - Descriptive statistics (mean, median, variance, standard deviation)
- Data types and data collection methods
Probability and Statistical Inference - Probability concepts and distributions
- Sampling methods and sampling error

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WGU Data-Driven-Decision-Making최신 덤프데모 다운 & Data-Driven-Decision-Making완벽한 공부자료

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최신 Courses and Certificates Data-Driven-Decision-Making 무료샘플문제 (Q64-Q69):

질문 # 64
A student with a degree is presumed to already have a bachelor's degree. Which type of data does this represent?

  • A. Ordinal data
  • B. Ratio data
  • C. Interval data
  • D. Nominal data

정답：D

설명：
This question refers to categorizing information rather than measuring it numerically. The phrase "a student with a degree" identifies a classification or label, not a value with mathematical meaning. Nominal data are used to place observations into distinct categories without any inherent numerical order or ranking. In this case, the student is being grouped according to degree status, which is a named category. Interval and ratio data are numerical measurement scales, so they do not apply here. Ordinal data involve ranked categories, such as low, medium, and high, or freshman through senior, where order matters. Here, the information does not describe rank or position; it simply identifies a class of person based on a characteristic. Even though the phrase mentions a bachelor's degree, the key issue is that the information is categorical rather than numeric.
Therefore, this is best understood as nominal data. In data analysis, recognizing nominal variables is important because they are usually summarized with counts, percentages, or category-based comparisons rather than means or standard deviations.


질문 # 65
A hospital hires a third-party company to train its surgery team on the latest techniques and assess the team's current procedures in the operating room.
Which results-based management (RBM) stage is represented in this scenario?

  • A. Output
  • B. Outcome
  • C. Activities
  • D. Input

정답：C

설명：
In results-based management (RBM),activitiesrepresent the actions undertaken to achieve desired outputs and outcomes. In data-driven decision making, activities include training, assessments, and implementation efforts.
Hiring a third-party company to train staff and assess procedures is an action being performed, not the result of that action. Inputs would include funding or resources, outputs would be trained staff or reports, and outcomes would reflect improved surgical performance.
Therefore, the correct answer isD, activities.


질문 # 66
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. Average number of projects completed
  • B. Median cost for all county projects
  • C. Median number of projects completed last year
  • D. Average cost per project spent by other similar counties

정답：D

설명：
When a county government wants to guide budgeting decisions about costs, a useful analytic method is benchmarking against comparable organizations. The best answer is average cost per project spent by other similar counties because it provides an external reference point that can help evaluate whether the county's own spending is reasonable, efficient, or out of line with peers. This type of comparative analytics is especially valuable in public-sector budgeting, where governments often seek cost-effective practices and want to justify expenditures based on comparable performance. The number of projects completed, whether measured by median or average, does not directly address cost decisions. Median cost for all county projects may summarize internal spending, but it does not offer the broader perspective available from comparison with similar counties. Benchmarking external averages supports better resource planning and helps identify opportunities for improvement. Therefore, the correct answer is average cost per project spent by other similar counties.


질문 # 67
What is an omission error?

  • A. When data is inaccurate
  • B. When crucial data is missing
  • C. When data contains outliers
  • D. When not all the data has been reviewed

정답：B

설명：
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.


질문 # 68
For which situation could a scatter diagram be used?

  • A. Demonstrating a significant difference between the means of two groups of data
  • B. Demonstrating a significant difference between the frequencies of two groups of data
  • C. Demonstrating a relationship between variables
  • D. Demonstrating a visual precedence of a prioritization matrix

정답：C

설명：
Ascatter diagramis used to visually examine therelationship between two quantitative variables. In data- driven decision making, scatter diagrams help analysts assess whether variables move together, whether the relationship is positive, negative, or nonexistent, and whether the relationship appears linear or nonlinear.
Each point on a scatter diagram represents a paired observation of two variables, such as advertising spend and sales revenue or hours studied and test scores. Patterns in the plotted points can suggest correlation, which may later be explored using regression analysis. Scatter diagrams are exploratory tools and do not, by themselves, establish causation.
A prioritization matrix ranks options, frequency differences are examined using bar or Pareto charts, and differences in means are evaluated using hypothesis tests such as t-tests or ANOVA. Therefore, the correct application of a scatter diagram is to demonstraterelationships between variables, making optionBcorrect.


질문 # 69
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