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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Statistical Concepts & Descriptive Analytics | 25% | - Measures of central tendency, dispersion, distribution - Data types, measurement scales, sampling methods - Data visualization: charts, graphs, dashboards |
| Topic 2: Predictive Analytics & Regression | 20% | - Interpreting coefficients, R-squared, significance - Simple & multiple linear regression - Forecasting & trend analysis |
| Topic 3: Decision Models & Prescriptive Analytics | 15% | - Quality & process improvement tools - Optimization, sensitivity analysis - Decision trees, payoff matrices, expected value |
| Topic 4: Probability & Statistical Inference | 20% | - Correlation vs. causation - Probability rules, distributions, expected value - Hypothesis testing, p-values, confidence intervals |
| Topic 5: Foundations of Data-Driven Decision Making | 20% | - Role of data in business decisions - Types of analytics: descriptive, predictive, prescriptive - Ethics, privacy, and data governance |
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NEW QUESTION # 19
How does Six Sigma relate to a firm's application of a control chart?
Answer: C
Explanation:
Six Sigma is a quality management methodology focused on reducing defects, minimizing variation, and improving process performance through data-driven analysis. Control charts are one of the statistical process control tools commonly used within Six Sigma because they allow firms to continually measure processes and outputs over time. By tracking data points against control limits, organizations can determine whether a process is operating normally or whether unusual variation requires investigation. This ongoing measurement supports the Six Sigma goal of achieving highly consistent performance and identifying sources of error early.
The other options do not accurately describe the relationship. Six Sigma is not equivalent to linear programming, which is an optimization technique. It also does not directly produce a balanced scorecard, which is a broader strategic performance framework. Although supplier and input reliability may matter in quality management, that is not the primary connection between Six Sigma and control charts. Therefore, the best answer is that Six Sigma continually measures processes and outputs through tools such as control charts.
NEW QUESTION # 20
What is a disadvantage of using a balanced scorecard?
Answer: C
Explanation:
A key disadvantage of using abalanced scorecardis that itrequires significant time and effort to develop a meaningful and effective template. In data-driven decision making, the value of a balanced scorecard depends on careful selection of performance measures that align with organizational strategy.
Developing a balanced scorecard involves defining strategic objectives, selecting appropriate metrics, setting targets, and ensuring data availability. This process can be resource-intensive, especially in large or complex organizations. However, once implemented, the balanced scorecard offers substantial long-term benefits.
The other options are incorrect because the balanced scorecard explicitly includes both financial and nonfinancial measures and is designed to link operations with strategy. While implementation may involve some cost, expense alone is not typically cited as its primary disadvantage.
Therefore, the correct answer isA.
NEW QUESTION # 21
A boutique specializing in gifts reviews its sales data over the last year. It observes a slow decline in revenue in the first quarter, a growth in revenue in the second quarter, a slight decline in revenue in the third quarter, and a rapid increase in revenue in the fourth quarter.
Which data pattern type can the sales data be assessed against?
Answer: D
Explanation:
Seasonalityrefers to predictable patterns in data that repeat at regular intervals, such as quarters or months, due to seasonal factors. In data-driven decision making, identifying seasonal patterns helps organizations forecast demand and plan operations.
The boutique's revenue shows distinct quarterly patterns: declines and increases that align with different times of the year. The sharp increase in the fourth quarter is especially indicative of seasonal effects, such as holiday shopping.
Random variation and irregularity describe unpredictable fluctuations, while cyclicality refers to long-term economic cycles rather than recurring annual patterns. Therefore, the correct answer isC, seasonality.
NEW QUESTION # 22
Which process is considered a statistical process control activity?
Answer: A
Explanation:
Statistical process control involves using statistical methods to monitor, control, and improve production processes. A central purpose of this approach is to determine whether a process is operating within acceptable variation limits. Therefore, determining if the precision of a manufactured product is within a tolerable range is a direct example of statistical process control. This type of activity uses measured data to evaluate consistency, detect abnormal variation, and maintain quality standards. Evaluating consumer complaints may provide useful quality feedback, but it is not the direct statistical monitoring activity described by process control methods. Aligning marketing strategy with manufacturing capabilities is a business planning issue rather than a process control task. Forecasting future consumer demand is a forecasting and analytics activity, not statistical process control. The defining feature of statistical process control is monitoring production behavior using measurable process data and tolerance limits. Therefore, the correct answer is the option that focuses on determining whether the manufactured product's precision remains within an acceptable range.
NEW QUESTION # 23
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 # 24
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