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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Foundations of Data-Driven Decision Making | 20% | - Types of analytics: descriptive, predictive, prescriptive - Role of data in business decisions - Ethics, privacy, and data governance |
| Topic 2: Predictive Analytics & Regression | 20% | - Simple & multiple linear regression - Interpreting coefficients, R-squared, significance - Forecasting & trend analysis |
| Topic 3: Probability & Statistical Inference | 20% | - Hypothesis testing, p-values, confidence intervals - Correlation vs. causation - Probability rules, distributions, expected value |
| Topic 4: Statistical Concepts & Descriptive Analytics | 25% | - Measures of central tendency, dispersion, distribution - Data types, measurement scales, sampling methods - Data visualization: charts, graphs, dashboards |
| Topic 5: Decision Models & Prescriptive Analytics | 15% | - Optimization, sensitivity analysis - Quality & process improvement tools - Decision trees, payoff matrices, expected value |
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NEW QUESTION # 33
Which graphical representation depicts the steps that compose a process?
Answer: D
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 # 34
How should a marketing consulting firm perform a cluster analysis for a new granola bar?
Answer: A
NEW QUESTION # 35
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: C
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 # 36
A healthcare organization implements a campaign to improve patient satisfaction during recent stays. The average patient satisfaction before the campaign is M = 4.20, SD = 3.0. Six months after the new campaign, the average patient satisfaction is M = 1.5, SD = 2.0.
Which action should the hospital management team take?
Answer: D
Explanation:
Data-driven decision making requires comparing outcomes before and after an intervention to assess effectiveness. In this scenario, the mean patient satisfaction scoredeclined from 4.20 to 1.5following implementation of the campaign, indicating a substantial decrease in satisfaction.
Despite the reduced standard deviation, the large drop in the mean suggests the campaign did not achieve its intended goal and may have negatively affected patient experience. Continuing or modifying the campaign is not justified without evidence of initial improvement or external factors explaining the decline.
Management decisions must be grounded in outcome data rather than assumptions or unrelated metrics such as patient volume. Ethical and effective use of statistics requires discontinuing interventions that demonstrably worsen outcomes.
Therefore, the correct action is todiscontinue the campaign, making optionAthe correct answer.
NEW QUESTION # 37
Which use of statistics would apply to employees?
Answer: C
Explanation:
Statistics can be applied to employees and organizations in many ways, but among the choices given, predicting future levels of financial risk is the best fit for a practical statistical use. Organizations often use statistical models to evaluate uncertainty related to staffing, benefits, payroll obligations, productivity changes, turnover, insurance exposure, and broader business performance. These analyses help managers make more informed decisions about budgeting, hiring, workforce planning, and operational resilience. The other options are less directly tied to employee-related statistical application. Influencing vendor prices and comparing wholesale pricing are more related to procurement and market analysis than to employees.
Determining financial interest rates generally falls under financial markets, lending, or macroeconomic policy rather than an employee-centered use of statistics. In a data-driven environment, statistical tools are frequently used to forecast risk and evaluate future scenarios so that organizations can protect resources and plan responsibly. Therefore, predicting future levels of financial risk is the most accurate answer because it reflects a recognized analytical application of statistics within organizational decision-making.
NEW QUESTION # 38
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