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| Section | Objectives |
|---|---|
| Hypothesis Testing | - Null and alternative hypotheses - t-tests, chi-square tests, and significance testing |
| Probability and Statistical Inference | - Sampling methods and sampling error - Probability concepts and distributions |
| Data Fundamentals and Business Analytics | - Data types and data collection methods - Descriptive statistics (mean, median, variance, standard deviation) |
| Regression and Correlation Analysis | - Interpreting correlation and causation - Linear regression modeling |
| Decision Making Models | - Risk and uncertainty in decision-making - Decision trees and expected value analysis |
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NEW QUESTION # 77
What is the purpose of the quality management principle of dedication to fact-based decision-making?
Answer: D
Explanation:
The principle offact-based decision-makingemphasizes using reliable data and objective analysis rather than intuition or opinion. In data-driven decision making, this principle exists primarily toreduce bias and increase trust in organizational plans and decisions.
When decisions are grounded in verified data, assumptions are challenged, personal biases are minimized, and outcomes are more predictable. This builds confidence among stakeholders and supports transparency and accountability.
Customer loyalty, waste elimination, and quality effectiveness may be indirect benefits, but the core purpose is ensuring that decisions are objective, defensible, and evidence-based. Therefore, the correct answer isD.
NEW QUESTION # 78
How is a cost-benefit analysis different in the public and private sectors?
Answer: A
Explanation:
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.
NEW QUESTION # 79
What are two qualities of key performance indicators (KPIs)?
Choose 2 answers.
Answer: A,D
Explanation:
Key performance indicators (KPIs) are designed to measure progress toward strategic objectives. In data- driven decision making, effective KPIs arestable, meaningful, and aligned with organizational goalsrather than frequently changing.
One important quality of KPIs is that theycan be used for internal benchmarking, allowing organizations to compare performance across departments, time periods, or projects. This helps identify best practices and performance gaps.
Another defining characteristic is that KPIs often followSMART criteria-Specific, Measurable, Achievable, Relevant, and Time-bound. These criteria ensure KPIs are clearly defined and actionable.
KPIs are not meant to be easily changed, as frequent changes undermine consistency and comparability. They also require ongoing monitoring and maintenance to remain relevant and accurate.
Therefore, the correct answers areB and D.
NEW QUESTION # 80
A student with a degree is presumed to already have a bachelor's degree. Which type of data does this represent?
Answer: A
Explanation:
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.
NEW QUESTION # 81
A researcher notes that people who exercise daily tend to sleep better. The researcher then asks subjects to keep a sleep diary and record the number of hours they sleep each night. Some diaries have few entries, but the subjects claim they are well rested. Which type of error is represented in this research?
Answer: C
Explanation:
This scenario illustrates response bias because the quality and completeness of the recorded responses are questionable. The researcher depends on subjects to accurately document their sleeping hours in diaries, yet some subjects submit few entries while still claiming they are well rested. This creates a mismatch between documented evidence and self-reported perception. Response bias occurs when participants provide answers that do not fully or accurately reflect reality, whether intentionally or unintentionally. In this case, the subjects may be estimating, omitting information, or reporting what they believe sounds acceptable rather than what was consistently recorded. The problem is not mainly lack of blinding, since there is no indication that concealed treatment assignment is relevant. It is also not primarily cause-and-effect confusion, because the issue described concerns the reliability of the reported data rather than drawing a causal conclusion.
Conscious bias is less fitting because the question points to flawed responses rather than deliberate manipulation by the researcher. Therefore, the best answer is response bias, as the data collected from subjects may not accurately represent their actual sleep behavior.
NEW QUESTION # 82
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