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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Probability & Statistical Inference | 20% | - Correlation vs. causation - Probability rules, distributions, expected value - Hypothesis testing, p-values, confidence intervals |
| Topic 2: Predictive Analytics & Regression | 20% | - Forecasting & trend analysis - Simple & multiple linear regression - Interpreting coefficients, R-squared, significance |
| Topic 3: Decision Models & Prescriptive Analytics | 15% | - Quality & process improvement tools - Optimization, sensitivity analysis - Decision trees, payoff matrices, expected value |
| Topic 4: Statistical Concepts & Descriptive Analytics | 25% | - Data visualization: charts, graphs, dashboards - Measures of central tendency, dispersion, distribution - Data types, measurement scales, sampling methods |
| Topic 5: Foundations of Data-Driven Decision Making | 20% | - Ethics, privacy, and data governance - Types of analytics: descriptive, predictive, prescriptive - Role of data in business decisions |
>> Data-Driven-Decision-Making Quizfragen Und Antworten <<
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72. Frage
Which two statements describe Ishikawa's seven basic tools of quality?
Choose 2 answers.
Antwort: A,D
Begründung:
Ishikawa'sseven basic tools of qualitywere designed to be simple, visual, and accessible. In data-driven decision making, these tools help employees identify, analyze, and solve quality problems without requiring advanced statistical expertise.
The tools-such as flowcharts, histograms, Pareto charts, and cause-and-effect diagrams-represent processes graphically, making patterns and issues easier to understand. Additionally, they are intentionally designed so thatan average worker can easily understand and use them, supporting organization-wide quality improvement.
They do not rely on photographic representations, nor are they intended for advanced or expert-level training.
Instead, they empower frontline employees to participate in continuous improvement efforts.
Therefore, the correct answers areA and C.
73. Frage
A hospital hires a third-party company to train its surgery team on the latest techniques and assess the team's current procedures in the operating room.
Which results-based management (RBM) stage is represented in this scenario?
Antwort: D
Begründung:
In results-based management (RBM),activitiesrepresent the actions undertaken to achieve desired outputs and outcomes. In data-driven decision making, activities include training, assessments, and implementation efforts.
Hiring a third-party company to train staff and assess procedures is an action being performed, not the result of that action. Inputs would include funding or resources, outputs would be trained staff or reports, and outcomes would reflect improved surgical performance.
Therefore, the correct answer isD, activities.
74. Frage
How does Six Sigma relate to a firm's application of a control chart?
Antwort: D
Begründung:
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.
75. Frage
Which type of analysis determines whether there was a significant difference in the average donor solicitation amount between three nonprofit hospital events?
Antwort: D
Begründung:
Analysis of Variance (ANOVA)is used to compare the means of three or more groups to determine whether statistically significant differences exist. In data-driven decision making, ANOVA is appropriate when evaluating differences across multiple categories.
In this scenario, the analyst is comparing average donor solicitation amounts across three separate events.
ANOVA tests whether at least one group mean differs from the others.
Cluster analysis groups data, time series examines trends over time, and logistic regression predicts categorical outcomes. Therefore, the correct answer isD, ANOVA.
76. Frage
A bakery owner would like to know how many cakes to sell for monthly profit to equal zero. Which analysis method should the owner perform?
Antwort: C
Begründung:
The bakery owner wants to determine the sales level at which profit equals zero. This is the definition of break-even analysis. Break-even analysis identifies the number of units that must be sold so that total revenue exactly equals total cost, meaning there is neither profit nor loss. It is a widely used prescriptive and managerial decision tool for pricing, budgeting, production planning, and cost control. ANOVA is used to compare means across groups, not to find a zero-profit sales level. A t-test compares means between two groups, which is also unrelated to the goal of determining the required sales quantity for no profit or loss.
"Crossover" is not the standard term for this type of profitability calculation in business analytics. Break-even analysis helps managers understand fixed costs, variable costs, contribution margin, and the minimum output required to sustain operations. Therefore, the correct method for determining how many cakes must be sold so that monthly profit equals zero is break-even analysis.
77. Frage
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