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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Statistical Concepts & Descriptive Analytics | 25% | - Measures of central tendency, dispersion, distribution - Data visualization: charts, graphs, dashboards - Data types, measurement scales, sampling methods |
| Topic 2: Foundations of Data-Driven Decision Making | 20% | - Ethics, privacy, and data governance - Role of data in business decisions - Types of analytics: descriptive, predictive, prescriptive |
| Topic 3: Predictive Analytics & Regression | 20% | - Forecasting & trend analysis - Simple & multiple linear regression - Interpreting coefficients, R-squared, significance |
| Topic 4: Decision Models & Prescriptive Analytics | 15% | - Quality & process improvement tools - Decision trees, payoff matrices, expected value - Optimization, sensitivity analysis |
| Topic 5: Probability & Statistical Inference | 20% | - Probability rules, distributions, expected value - Hypothesis testing, p-values, confidence intervals - Correlation vs. causation |
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NEW QUESTION # 48
What is the purpose of linking strategy to performance assessment in an organization?
Answer: B
Explanation:
Linking strategy to performance assessment helps an organization define where it needs or desires to be and measure progress toward that target. This connection is essential because it ensures that performance metrics are not selected in isolation, but instead support the mission, goals, and priorities of the organization. When strategy and assessment are aligned, managers can evaluate whether operational efforts are contributing to desired outcomes, identify gaps between current and expected performance, and make better-informed decisions about improvement. The other options do not reflect the main purpose. Increasing data collection may occur, but it is not the central reason for linking strategy to assessment. Reducing action plans is not a valid objective, and translating the mission only for team players is too narrow and inaccurate. Strategic performance assessment creates direction, accountability, and clarity across the organization. Therefore, the correct answer is that it provides a target of where an organization needs or desires to be.
NEW QUESTION # 49
A professional services firm is undergoing a business process improvement exercise to improve productivity, staff morale, and client satisfaction. Management compensation will be tied specifically to improvement in productivity during the fiscal year. Which tool should be used to quantify a measurable standard to help the company track the productivity goal for the fiscal year?
Answer: B
Explanation:
The best tool for quantifying a measurable standard tied to a specific productivity goal is a key performance indicator. A KPI provides a focused, numerical measure that allows the firm to track progress over time and determine whether the targeted improvement is being achieved during the fiscal year. Because management compensation will be linked specifically to productivity improvement, the organization needs a clear and objective metric that can be monitored consistently. A balanced scorecard is broader and may include productivity as one component, but it is not the most direct tool for measuring one targeted operational result.
A net promoter score is related to customer loyalty and satisfaction, not productivity. Results-based management is a broader management approach rather than a single measurable standard. Since the question asks which tool should be used to quantify a measurable standard for tracking the goal, the correct answer is key performance indicator. It provides the direct, specific measure needed for performance monitoring and accountability.
NEW QUESTION # 50
How should a marketing consulting firm perform a cluster analysis for a new granola bar?
Answer: B
NEW QUESTION # 51
A financial analyst theorizes that commute times increase as the percentage of land availability for homes in a city decreases. To test this hypothesis, the analyst uses a regression analysis to explore how land availability predicts commute time.
What does land availability represent in this regression?
Answer: C
Explanation:
In regression analysis, theindependent variableis the predictor used to explain or estimate changes in another variable. In data-driven decision making, identifying the correct variable roles is essential for meaningful interpretation.
In this scenario, land availability is used to predict commute time. Commute time is the outcome being explained, making it the dependent or target variable. Land availability influences or explains changes in commute time, which makes it theindependent variable.
Controls are additional variables included to isolate effects, but land availability is the primary predictor of interest. Therefore, optionCis correct.
NEW QUESTION # 52
A car dealership sells both new and used cars. The number of new cars sold on a given day ranges from 5 to
30 while the number of used cars sold ranges from 5 to 40. The number of used cars sold is mutually exclusive to the number of new cars sold.
Which statistic would be used to compare the number of new and used car sales on any given day?
Answer: C
Explanation:
Thechi-square statisticis used to compare frequencies of categorical, mutually exclusive outcomes. In data- driven decision making, it is appropriate for analyzing differences between observed counts.
New and used car sales represent mutually exclusive categories, making chi-square the correct choice.
Therefore, the correct answer isB.
NEW QUESTION # 53
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