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| Section | Objectives |
|---|---|
| Decision-Making Frameworks | - Risk Analysis and Assessment - Rational Decision Models - Evidence-Based Decision Making - Cost-Benefit Analysis |
| Data Analysis Fundamentals | - Data Types and Measurement Scales - Data Quality and Cleaning - Descriptive Statistics - Data Visualization Techniques |
| Data-Driven Culture and Communication | - Building Data-Informed Organizations - Stakeholder Communication - Ethical Considerations in Data Use - Presenting Data Insights |
| Business Intelligence and Analytics | - Data Mining Concepts - Key Performance Indicators (KPIs) - Predictive Analytics Basics - Dashboards and Reporting |
>> WGU Data-Driven-Decision-Making題庫下載 <<
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問題 #76
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?
答案：C
解題說明：
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.
問題 #77
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?
答案：D
問題 #78
A hospital is restructuring its business and administrative functions.
Which component of service delivery could be analyzed with a data analytics approach to help determine whether the hospital is adequately staffed for each shift?
答案：D
解題說明：
Patient-to-staff ratiosare a critical analytic measure for determining whether a hospital is adequately staffed for each shift. In data-driven decision making, staffing adequacy is best assessed by examining workload demand relative to available personnel.
Patient-to-staff ratios directly reflect how many patients each staff member is responsible for during a given shift. High ratios may indicate understaffing, increased risk of burnout, and reduced quality of care, while lower ratios suggest more manageable workloads and better patient outcomes.
Staff productivity levels measure efficiency but do not directly capture demand. Education levels reflect qualifications rather than staffing sufficiency. Patient satisfaction is an outcome metric and may be influenced by many factors beyond staffing levels.
By analyzing patient-to-staff ratios across shifts, hospital administrators can identify imbalances, allocate resources more effectively, and improve operational efficiency. Therefore, the correct answer isB.
問題 #79
A company runs a regression analysis to identify the impact of volume on demand, which can be shown as an equation y = 50x + 10. Which volume is needed to produce a demand of 10,510?
答案：B
解題說明：
To solve this regression problem, substitute the given demand value into the equation and solve for x. The equation is y = 50x + 10, and the desired demand is 10,510. Replacing y with 10,510 gives 10,510 = 50x + 10.
Subtracting 10 from both sides gives 10,500 = 50x. Dividing both sides by 50 gives x = 210. This means a volume of 210 is required to produce a demand of 10,510 under the linear relationship described by the equation. Regression equations are often used in forecasting and planning because they allow analysts to estimate one value from another. In this case, the independent variable is volume and the dependent variable is demand. The correct value must satisfy the equation exactly, and only 210 does so. The other options do not produce the required result when substituted into the equation. Therefore, the correct answer is 210.
問題 #80
Which two characteristics must a researcher consider concerning data quality when ensuring that an analysis is based on a clean data set?
Choose 2 answers.
答案：C,D
解題說明：
When evaluating whether a data set is clean enough for analysis, a researcher must focus on data quality dimensions that directly affect validity and usefulness. Two important characteristics are uniqueness and relevance. Data elements must be unique to prevent duplicate records from distorting counts, averages, totals, and trend analyses. Duplicate entries can lead to biased results, especially in customer, transaction, or survey data. Relevance is equally important because even accurate data are not helpful if they do not pertain to the question being studied. A clean data set should support the actual purpose of the analysis rather than merely being complete or large. The statement about age is incorrect because timeliness often matters; outdated data may no longer reflect the current environment. The statement that data cannot contain outliers is also too absolute. Outliers may be valid observations and can sometimes reveal important conditions, anomalies, or data-entry problems that require investigation rather than automatic removal. Thus, the best two characteristics are uniqueness and relevance, because both directly support meaningful, accurate, and decision- ready analysis.
問題 #81
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