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| Section | Weight | Objectives |
|---|---|---|
| Probability & Statistical Inference | 20% | - Hypothesis testing, p-values, confidence intervals - Correlation vs. causation - Probability rules, distributions, expected value |
| Predictive Analytics & Regression | 20% | - Simple & multiple linear regression - Interpreting coefficients, R-squared, significance - 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 |
| Decision Models & Prescriptive Analytics | 15% | - Decision trees, payoff matrices, expected value - Optimization, sensitivity analysis - Quality & process improvement tools |
| Statistical Concepts & Descriptive Analytics | 25% | - Data visualization: charts, graphs, dashboards - Measures of central tendency, dispersion, distribution - Data types, measurement scales, sampling methods |
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NEW QUESTION # 109
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: C
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 # 110
Which two characteristics must a researcher consider concerning data quality when ensuring that an analysis is based on a clean data set?
Choose 2 answers.
Answer: A,B
Explanation:
When evaluating whether a data set is clean enough for analysis, a researcher must focus on data quality dimensions that directly affect validity and usefulness. Two important characteristics are uniqueness and relevance. Data elements must be unique to prevent duplicate records from distorting counts, averages, totals, and trend analyses. Duplicate entries can lead to biased results, especially in customer, transaction, or survey data. Relevance is equally important because even accurate data are not helpful if they do not pertain to the question being studied. A clean data set should support the actual purpose of the analysis rather than merely being complete or large. The statement about age is incorrect because timeliness often matters; outdated data may no longer reflect the current environment. The statement that data cannot contain outliers is also too absolute. Outliers may be valid observations and can sometimes reveal important conditions, anomalies, or data-entry problems that require investigation rather than automatic removal. Thus, the best two characteristics are uniqueness and relevance, because both directly support meaningful, accurate, and decision- ready analysis.
NEW QUESTION # 111
Which input could be used to create and evaluate a process that would improve an organization's performance?
Answer: A
Explanation:
Data gathered from a customer survey can be used to create and evaluate a process that improves organizational performance because customer feedback provides direct evidence about satisfaction, service quality, unmet needs, and areas requiring change. In data-driven decision-making, effective process improvement begins with relevant and reliable inputs, and customer survey data are especially valuable because they reflect the experiences of the people receiving the organization's products or services. These data can reveal trends, pain points, expectations, and opportunities for redesign. Suggestions from a competitor may be informative, but they are not as direct or reliable as structured internal evidence gathered from actual stakeholders. Information from an employee handbook outlines policies rather than performance inputs, and industry regulations define compliance boundaries rather than improvement opportunities. Since the question asks which input can help create and evaluate a better-performing process, the most appropriate answer is data gathered from a customer survey.
NEW QUESTION # 112
Which tool should be used to closely monitor inputs and outputs?
Answer: A
Explanation:
ASIPOC diagram(Suppliers, Inputs, Process, Outputs, Customers) is specifically designed to closely monitor and understand the flow of inputs and outputs within a process. In data-driven decision making and quality management, SIPOC diagrams provide a high-level view of how value is created and delivered.
By clearly identifying suppliers and inputs at the start of a process and outputs and customers at the end, organizations can assess whether inputs meet requirements and whether outputs align with customer expectations. This visibility helps identify inefficiencies, gaps, or quality issues early in the process lifecycle.
Business process diagrams focus on workflow steps but do not emphasize supplier-input and output- customer relationships. Financial statements and pro forma statements are financial planning tools and are not designed for operational process monitoring.
Therefore, the correct answer isC, SIPOC diagram.
NEW QUESTION # 113
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: B
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 # 114
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