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| Section | Objectives |
|---|---|
| Topic 1: Business Intelligence and Analytics | - Dashboards and Reporting - Data Mining Concepts - Predictive Analytics Basics - Key Performance Indicators (KPIs) |
| Topic 2: Data Analysis Fundamentals | - Data Types and Measurement Scales - Data Visualization Techniques - Descriptive Statistics - Data Quality and Cleaning |
| Topic 3: Decision-Making Frameworks | - Rational Decision Models - Evidence-Based Decision Making - Risk Analysis and Assessment - Cost-Benefit Analysis |
| Topic 4: Data-Driven Culture and Communication | - Building Data-Informed Organizations - Ethical Considerations in Data Use - Stakeholder Communication - Presenting Data Insights |
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NEW QUESTION # 112
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?
Answer: D
Explanation:
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.
NEW QUESTION # 113
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 # 114
What must be analyzed using powerful analytic tools?
Answer: A
Explanation:
Big datamust be analyzed using powerful analytic tools due to its volume, velocity, and variety. In data- driven decision making, traditional tools are often insufficient for processing massive, complex datasets generated from digital platforms, sensors, and transactions.
Big data requires advanced computing power, specialized software, and sophisticated algorithms to extract meaningful insights. Inferential statistics and small datasets can often be handled with conventional statistical tools.
Therefore, the correct answer isC, big data.
NEW QUESTION # 115
Why are experiments conducted using random sample populations?
Answer: C
Explanation:
Experiments and studies commonly use random samples because observing an entire population is often too difficult, costly, time-consuming, or impractical. In most real-world settings, researchers cannot collect data from every individual, item, or event of interest. A properly selected random sample allows them to estimate population characteristics with a manageable amount of effort while still preserving the ability to make statistical inferences. Random sampling improves representativeness and reduces selection bias, but it does not guarantee total elimination of bias. That is why the option claiming bias elimination is incorrect.
Likewise, the issue is not mainly about outliers or software cost. The main reason for using random samples is feasibility combined with inferential validity. With sound sampling methods, researchers can use probability theory to generalize findings from the sample to the broader population and estimate the degree of uncertainty in those conclusions. Therefore, the strongest and most accurate answer is that studying the entire population is difficult and impractical, making random sampling the preferred and efficient alternative.
NEW QUESTION # 116
Management uses a net promoter score.
What can management determine using this performance measurement?
Answer: C
Explanation:
Thenet promoter score (NPS)measurescustomer loyaltyby assessing the likelihood that customers will recommend a company's products or services to others. In data-driven decision making, NPS is a widely used indicator of customer satisfaction and long-term growth potential.
Customers are typically asked how likely they are to recommend the organization on a numerical scale.
Responses are categorized into promoters, passives, and detractors, and the score is calculated by subtracting the percentage of detractors from the percentage of promoters.
NPS does not directly measure financial outcomes, employee performance, or quality assurance metrics.
Instead, it serves as a customer-focused indicator that reflects overall perception and loyalty.
Therefore, the correct answer isB.
NEW QUESTION # 117
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