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| Section | Objectives |
|---|---|
| Business Intelligence and Analytics | - Dashboards and Reporting - Data Mining Concepts - Key Performance Indicators (KPIs) - Predictive Analytics Basics |
| Decision-Making Frameworks | - Risk Analysis and Assessment - Cost-Benefit Analysis - Evidence-Based Decision Making - Rational Decision Models |
| Data-Driven Culture and Communication | - Ethical Considerations in Data Use - Stakeholder Communication - Building Data-Informed Organizations - Presenting Data Insights |
| Data Analysis Fundamentals | - Data Types and Measurement Scales - Data Visualization Techniques - Descriptive Statistics - Data Quality and Cleaning |
>> Data-Driven-Decision-Making Simulationsfragen <<
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121. Frage
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?
Antwort: B
122. Frage
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?
Antwort: D
Begründung:
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.
123. Frage
How is a cost-benefit analysis different in the public and private sectors?
Antwort: B
Begründung:
Cost-benefit analysis differs between the public and private sectors primarily because the goals of the two sectors are different. In the public sector, decisions are generally evaluated in terms of the general welfare of the population, including social value, public health, safety, infrastructure, education, and broader community outcomes. In the private sector, cost-benefit analysis is usually more focused on profitability, financial return, efficiency, and shareholder value. While both sectors consider costs and benefits, the definition of "benefit" often changes depending on the mission of the organization. Public-sector benefits may include social improvements that do not generate direct profit, whereas private-sector benefits are often measured through revenue, cost savings, or market performance. The other options are too narrow or incorrect because they suggest one-sided attention to only cost or only benefits. Therefore, the best answer is that the public sector usually focuses on the general welfare of the population, whereas the private sector usually focuses on profits.
124. Frage
What is a basic assumption of a z-score?
Antwort: A
Begründung:
Az-scorestandardizes a value by expressing how many standard deviations it lies from the mean. A fundamental assumption of z-score analysis in data-driven decision making is that the data can be transformed to astandard normal distributionwith amean of zero and a standard deviation of one.
This transformation allows analysts to compare values from different distributions on a common scale and to calculate probabilities using the standard normal table. The formula for a z-score subtracts the mean from the observed value and divides by the standard deviation, resulting in this standardized distribution.
Outliers are not eliminated by default in z-score calculations; instead, z-scores are often used to identify outliers. A standard deviation of 2 is incorrect and would not represent a standardized distribution.
Therefore, the correct answer isA, reflecting the core assumption underlying z-score usage.
125. Frage
Which input could be used to create and evaluate a process that would improve an organization's performance?
Antwort: D
Begründung:
Data gathered from a customer survey can be used to create and evaluate a process that improves organizational performance because customer feedback provides direct evidence about satisfaction, service quality, unmet needs, and areas requiring change. In data-driven decision-making, effective process improvement begins with relevant and reliable inputs, and customer survey data are especially valuable because they reflect the experiences of the people receiving the organization's products or services. These data can reveal trends, pain points, expectations, and opportunities for redesign. Suggestions from a competitor may be informative, but they are not as direct or reliable as structured internal evidence gathered from actual stakeholders. Information from an employee handbook outlines policies rather than performance inputs, and industry regulations define compliance boundaries rather than improvement opportunities. Since the question asks which input can help create and evaluate a better-performing process, the most appropriate answer is data gathered from a customer survey.
126. Frage
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