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| Section | Objectives |
|---|---|
| Topic 1: Regression and Correlation Analysis | - Interpreting correlation and causation - Linear regression modeling |
| Topic 2: Data Fundamentals and Business Analytics | - Data types and data collection methods - Descriptive statistics (mean, median, variance, standard deviation) |
| Topic 3: Decision Making Models | - Risk and uncertainty in decision-making - Decision trees and expected value analysis |
| Topic 4: Hypothesis Testing | - t-tests, chi-square tests, and significance testing - Null and alternative hypotheses |
| Topic 5: Probability and Statistical Inference | - Probability concepts and distributions - Sampling methods and sampling error |
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NEW QUESTION # 106
What is a primary objective of the Six Sigma quality management system?
Answer: B
Explanation:
A primary objective of Six Sigma is to reduce defects and process variation so extensively that operations move toward near-perfect performance. This is why the best answer is approaching perfection in manufacturing operations. Six Sigma is built on the idea that consistent measurement, disciplined process improvement, and statistical control can dramatically improve quality and efficiency. The goal is not absolute perfection in a literal sense, but very low defect rates and highly reliable outcomes. Producing a balanced scorecard is unrelated to the main objective of Six Sigma, as that is a strategic performance measurement framework. Establishing ISO 9000 standards is also different; ISO standards relate to quality system requirements, while Six Sigma is a methodology for improvement and defect reduction. Although Six Sigma projects may help managers organize improvement efforts, its primary purpose is not simply to provide a roadmap. Its central mission is achieving superior quality performance through continuous reduction of errors and variability. Therefore, the correct answer is approaching perfection in manufacturing operations.
NEW QUESTION # 107
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?
Answer: A
Explanation:
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.
NEW QUESTION # 108
A boutique specializing in gifts reviews its sales data over the last year. It observes a slow decline in revenue in the first quarter, a growth in revenue in the second quarter, a slight decline in revenue in the third quarter, and a rapid increase in revenue in the fourth quarter.
Which data pattern type can the sales data be assessed against?
Answer: A
Explanation:
Seasonalityrefers to predictable patterns in data that repeat at regular intervals, such as quarters or months, due to seasonal factors. In data-driven decision making, identifying seasonal patterns helps organizations forecast demand and plan operations.
The boutique's revenue shows distinct quarterly patterns: declines and increases that align with different times of the year. The sharp increase in the fourth quarter is especially indicative of seasonal effects, such as holiday shopping.
Random variation and irregularity describe unpredictable fluctuations, while cyclicality refers to long-term economic cycles rather than recurring annual patterns. Therefore, the correct answer isC, seasonality.
NEW QUESTION # 109
A financial analyst theorizes that commute times increase as the percentage of land availability for homes in a city decreases. To test this theory, the analyst uses a regression analysis. Which analysis result is supportive of this analyst's theory?
Answer: A
Explanation:
A regression result is most supportive of a theory when it shows a strong relationship between the independent and dependent variables. In this case, the analyst believes that commute times rise as land availability for homes falls. Among the answer choices, an R-squared value of 0.90 provides the strongest support because it indicates that about 90 percent of the variation in commute times is explained by the regression model. This suggests a very strong model fit. By contrast, an R-squared value of 0.10 would indicate a weak explanatory relationship. The p-values of 0.50 and 1 do not support the theory because large p- values suggest that the regression coefficient is not statistically significant. In regression analysis, a low p- value typically supports the idea that the predictor variable has a meaningful relationship with the outcome variable. Since no low p-value is offered, the best supportive result among the choices is the high R-squared value. Therefore, the correct answer is 0.90 because it indicates the model strongly explains the observed pattern.
NEW QUESTION # 110
Which two types of graphs illustrate and analyze measurements or trends over time?
Choose 2 answers.
Answer: A,D
Explanation:
The two graph types specifically designed to illustrate and analyze measurements or trends over time are the control chart and the run chart. A run chart displays data points in chronological order, making it useful for identifying trends, shifts, cycles, or patterns in a process over time. A control chart builds on this concept by adding upper and lower control limits, which help determine whether observed variation is normal or signals a possible process issue. These charts are widely used in quality improvement, operations monitoring, and time- based performance analysis. A check sheet is a structured data collection form, not a graph used to analyze trends over time. A Pareto chart shows categories ranked by frequency or impact, often to highlight the most important problems, but it does not primarily track change over time. Because the question asks for graph types that illustrate and analyze measurements or trends across time, the correct answers are control chart and run chart.
NEW QUESTION # 111
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