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| Section | Weight | Objectives |
|---|---|---|
| Decision Models & Prescriptive Analytics | 15% | - Decision trees, payoff matrices, expected value - Optimization, sensitivity analysis - Quality & process improvement tools |
| Predictive Analytics & Regression | 20% | - Interpreting coefficients, R-squared, significance - Simple & multiple linear regression - Forecasting & trend analysis |
| Foundations of Data-Driven Decision Making | 20% | - Ethics, privacy, and data governance - Role of data in business decisions - Types of analytics: descriptive, predictive, prescriptive |
| Probability & Statistical Inference | 20% | - Correlation vs. causation - Hypothesis testing, p-values, confidence intervals - Probability rules, distributions, expected value |
| Statistical Concepts & Descriptive Analytics | 25% | - Data types, measurement scales, sampling methods - Data visualization: charts, graphs, dashboards - Measures of central tendency, dispersion, distribution |
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NEW QUESTION # 46
Which graphical representation depicts the steps that compose a process?
Answer: A
Explanation:
Aflowchartis the graphical tool used to depict the sequential steps that compose a process. In data-driven decision making and quality management, flowcharts visually represent how inputs move through a series of activities to produce outputs. This makes them essential for understanding, documenting, and improving processes.
Flowcharts use standardized symbols to show actions, decisions, inputs, and outputs. By mapping each step, organizations can identify inefficiencies, bottlenecks, redundancies, and opportunities for improvement. They are commonly used during process analysis, root-cause analysis, and continuous improvement initiatives.
Histograms display the distribution of numerical data, control charts monitor process variation over time, and scatterplots examine relationships between variables. None of these tools are designed to show step-by-step workflows.
Therefore, the correct answer isC, flowchart.
NEW QUESTION # 47
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?
Answer: C
Explanation:
A 95% confidence result indicates a statistically significant difference between groups. Since the measured outcome isbrand awareness, the correct conclusion is that the advertisement was effective in increasing brand awareness.
Confidence levels do not measure sales, preference, or dislike. Therefore, the correct answer isB.
NEW QUESTION # 48
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: D
Explanation:
To guide budgeting decisions, data-driven decision making emphasizesbenchmarking against comparable organizations. Using theaverage cost per project spent by other similar countiesallows the county to assess whether its planned expenditures are reasonable and competitive.
Benchmarking provides external context that internal historical metrics cannot. While median costs or project counts describe internal performance, they do not indicate whether spending levels are appropriate relative to peers. Comparing average costs across similar counties helps identify inefficiencies, cost-saving opportunities, and realistic budget targets.
Therefore, optionAis the most effective analytic method for cost-based decision-making in this scenario.
NEW QUESTION # 49
Which statement is an accurate reflection of an analytical decision made by a for-profit organization?
Answer: D
Explanation:
A for-profit organization typically uses analytical methods to improve outcomes such as revenue, efficiency, market share, and especially profit. Among the available choices, linear programming is the recognized analytical optimization technique used to maximize or minimize an objective function subject to constraints.
In business settings, firms may use linear programming to optimize product mix, staffing, shipping routes, inventory allocation, advertising budgets, or production schedules. The purpose is to find the best possible decision based on limited resources such as time, labor, capital, or materials. The other options do not reflect standard analytical decision-making terminology in data-driven management. "Software programming" and
"hardware programming" refer to technology development activities, not profit-optimization methods, and
"social programming" does not describe a formal business optimization tool. Because the question asks for an accurate reflection of an analytical decision in a for-profit context, the correct answer is the one that uses a recognized prescriptive analytics method to optimize profit. That method is linear programming, which is widely used in operations research and managerial decision-making.
NEW QUESTION # 50
How should a marketing consulting firm perform a cluster analysis for a new granola bar?
Answer: A
NEW QUESTION # 51
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