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| Section | Weight | Objectives |
|---|---|---|
| Decision Models & Prescriptive Analytics | 15% | - Quality & process improvement tools - Decision trees, payoff matrices, expected value - Optimization, sensitivity analysis |
| Probability & Statistical Inference | 20% | - Probability rules, distributions, expected value - Correlation vs. causation - Hypothesis testing, p-values, confidence intervals |
| Statistical Concepts & Descriptive Analytics | 25% | - Data visualization: charts, graphs, dashboards - Measures of central tendency, dispersion, distribution - Data types, measurement scales, sampling methods |
| Predictive Analytics & Regression | 20% | - Simple & multiple linear regression - Forecasting & trend analysis - Interpreting coefficients, R-squared, significance |
| Foundations of Data-Driven Decision Making | 20% | - Types of analytics: descriptive, predictive, prescriptive - Ethics, privacy, and data governance - Role of data in business decisions |
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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: 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 # 50
When researchers are studying the effect of new drug treatments on patients, bias can be introduced by patients if they are aware of who receives the placebo.
Which type of research design eliminates this type of bias?
Answer: A
Explanation:
Ablind studyis specifically designed to eliminate bias that occurs when participants are aware of treatment assignments. In data-driven decision making and experimental research, patient awareness of receiving a placebo or treatment can influence reported symptoms, perceived effectiveness, and behavior, thereby biasing results.
In a blind study, participants do not know whether they are receiving the treatment or the placebo. This prevents expectations or beliefs from influencing outcomes and ensures that observed effects are attributable to the treatment itself rather than psychological or behavioral factors.
Observational studies and prospective cohort studies do not involve controlled assignment of treatments and therefore cannot eliminate this type of bias. Time series studies analyze data over time but do not address participant awareness of treatment allocation.
By preventing patients from knowing their treatment group, blind studies improve internal validity and support more accurate causal inference. Therefore, the correct answer isD, blind study.
NEW QUESTION # 51
What are two qualities of key performance indicators (KPIs)?
Choose 2 answers.
Answer: C,D
Explanation:
Key performance indicators (KPIs) are designed to measure progress toward strategic objectives. In data- driven decision making, effective KPIs arestable, meaningful, and aligned with organizational goalsrather than frequently changing.
One important quality of KPIs is that theycan be used for internal benchmarking, allowing organizations to compare performance across departments, time periods, or projects. This helps identify best practices and performance gaps.
Another defining characteristic is that KPIs often followSMART criteria-Specific, Measurable, Achievable, Relevant, and Time-bound. These criteria ensure KPIs are clearly defined and actionable.
KPIs are not meant to be easily changed, as frequent changes undermine consistency and comparability. They also require ongoing monitoring and maintenance to remain relevant and accurate.
Therefore, the correct answers areB and D.
NEW QUESTION # 52
How do a run chart and a control chart differ?
Answer: D
Explanation:
A run chart and a control chart are similar in that both display data over time, making it possible to observe trends, shifts, or recurring patterns in a process. The key difference is that a control chart includes control limits, or constraints, that define the expected range of normal variation for the process. These limits help analysts determine whether the process is statistically stable or whether unusual variation may signal a problem that requires attention. A run chart does not include those control boundaries; it simply displays the values in time order. Because of this, the correct description is that the two charts are essentially the same in structure, except a control chart includes limits or constraints that a process should not exceed. The options that describe one as a snapshot in time are incorrect because both are time-based charts. Therefore, the correct answer is the option identifying the control chart as the version that adds limits or thresholds for process monitoring.
NEW QUESTION # 53
Which two results occur when the null hypothesis is accepted using an F-test?
Choose 2 answers.
Answer: B,D
Explanation:
When the null hypothesis is accepted in anF-test, it indicates that there is no statistically significant difference between group variances or means, depending on the test design. Acceptance occurs when thetest statistic is less than the critical value, meaning the observed variation is within expected limits.
Accepting the null hypothesis implies thatno meaningful differenceexists between the samples. If the test statistic exceeded the critical value, the null hypothesis would be rejected.
Thus, the correct results areA and D.
NEW QUESTION # 54
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