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| Section | Objectives |
|---|---|
| Topic 1: Decision-Making Frameworks | - Risk Analysis and Assessment - Evidence-Based Decision Making - Cost-Benefit Analysis - Rational Decision Models |
| Topic 2: Data-Driven Culture and Communication | - Stakeholder Communication - Presenting Data Insights - Building Data-Informed Organizations - Ethical Considerations in Data Use |
| Topic 3: Business Intelligence and Analytics | - Key Performance Indicators (KPIs) - Dashboards and Reporting - Data Mining Concepts - Predictive Analytics Basics |
| Topic 4: Data Analysis Fundamentals | - Data Types and Measurement Scales - Descriptive Statistics - Data Visualization Techniques - Data Quality and Cleaning |
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NEW QUESTION # 105
Which step in the plan-do-check-act cycle is described as analyzing the results of an experiment and deciding whether those results can be improved?
Answer: B
Explanation:
TheCheckphase of the Plan-Do-Check-Act (PDCA) cycle involves evaluating outcomes and analyzing results. In data-driven decision making, this step compares actual performance against expected results to determine whether objectives were met.
During the Check phase, organizations review data, assess variation, and identify opportunities for improvement. Planning defines objectives, Doing implements changes, and Acting standardizes or adjusts processes based on evaluation.
Therefore, the correct answer isA, Check.
NEW QUESTION # 106
Which type of analytics classification uses experimental design and optimization to suggest a course of action?
Answer: D
Explanation:
Prescriptive analyticsis the analytics classification that uses experimental design and optimization techniques to suggest a specific course of action. In data-driven decision making, prescriptive analytics represents the most advanced stage of analytics, as it not only predicts outcomes but also recommends decisions that lead to optimal results.
Descriptive analytics summarizes historical data to explain what has already happened, while predictive analytics uses statistical and probabilistic models to estimate what is likely to happen in the future. Diagnostic analytics focuses on understanding why something happened by identifying root causes. In contrast, prescriptive analytics answers the critical question:what should be done.
Prescriptive analytics relies on methods such as optimization models, simulation, decision trees, and experimental design. These techniques evaluate multiple scenarios, constraints, and objectives to identify the best possible action. For example, organizations use prescriptive analytics to optimize pricing, allocate resources efficiently, schedule operations, or determine optimal investment strategies.
Within data-driven decision-making frameworks, prescriptive analytics bridges analysis and action by directly supporting managerial decision-making. It transforms analytical insights into concrete recommendations that can be implemented to improve performance and outcomes. Therefore, the correct answer isC, as prescriptive analytics explicitly uses experimental design and optimization to suggest a course of action.
NEW QUESTION # 107
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: A
NEW QUESTION # 108
A company runs a regression analysis to identify the impact of volume on demand, which can be shown as an equation y = 50x + 10. Which volume is needed to produce a demand of 10,510?
Answer: D
Explanation:
To solve this regression problem, substitute the given demand value into the equation and solve for x. The equation is y = 50x + 10, and the desired demand is 10,510. Replacing y with 10,510 gives 10,510 = 50x + 10.
Subtracting 10 from both sides gives 10,500 = 50x. Dividing both sides by 50 gives x = 210. This means a volume of 210 is required to produce a demand of 10,510 under the linear relationship described by the equation. Regression equations are often used in forecasting and planning because they allow analysts to estimate one value from another. In this case, the independent variable is volume and the dependent variable is demand. The correct value must satisfy the equation exactly, and only 210 does so. The other options do not produce the required result when substituted into the equation. Therefore, the correct answer is 210.
NEW QUESTION # 109
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 # 110
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