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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 |
| Predictive Analytics & Regression | 20% | - Forecasting & trend analysis - Interpreting coefficients, R-squared, significance - Simple & multiple linear regression |
| Foundations of Data-Driven Decision Making | 20% | - Ethics, privacy, and data governance - Types of analytics: descriptive, predictive, prescriptive - Role of data in business decisions |
| Statistical Concepts & Descriptive Analytics | 25% | - Measures of central tendency, dispersion, distribution - Data visualization: charts, graphs, dashboards - Data types, measurement scales, sampling methods |
| Probability & Statistical Inference | 20% | - Probability rules, distributions, expected value - Correlation vs. causation - Hypothesis testing, p-values, confidence intervals |
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NEW QUESTION # 74
Which tool should be used to closely monitor inputs and outputs?
Answer: D
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 # 75
An entrepreneur wants to start a boutique cupcake business based on family recipes shared for three generations. The entrepreneur knows the required costs associated with rent, supplies, utilities, and hourly wages and wants to determine how many cupcakes they need to sell to generate a profit.
Which technique should be used to analyze this data?
Answer: B
Explanation:
Break-even analysisis the appropriate technique for determining the number of units that must be sold to cover all fixed and variable costs. In data-driven decision making, break-even analysis is widely used for pricing, production, and startup feasibility decisions.
In this scenario, the entrepreneur already knows fixed costs such as rent and utilities, as well as variable costs like supplies and hourly wages. Break-even analysis calculates the point at which total revenue equals total cost, meaning profit is zero. Any sales beyond this point result in profit.
Crossover analysis is not a standard financial technique, t-tests are used to compare means, and regression analysis is used to predict outcomes based on relationships between variables rather than identify cost- revenue thresholds.
By applying break-even analysis, the entrepreneur can determine the minimum number of cupcakes required to sustain the business and make informed operational decisions. Therefore, the correct answer isB.
NEW QUESTION # 76
Which quality management principle should team members apply?
Answer: B
Explanation:
A core principle of quality management is systems thinking, which emphasizes that organizations operate as interconnected processes rather than isolated tasks. Because of this, team members should analyze all adjustments made in one part of a system that may affect other parts of the system. This approach recognizes that a change intended to improve one area can unintentionally reduce quality, efficiency, or consistency elsewhere. Effective quality management requires understanding process interactions, cause-and-effect relationships, and the broader impact of operational decisions. Option A is incorrect because quality improvement usually seeks to streamline processes rather than add unnecessary steps. Option C is also incorrect because quality management is about coordination and continuous improvement, not encouraging competition between the organization and employees. Option D does not reflect a recognized quality principle and suggests a lack of operational discipline. Therefore, the correct principle is the one that promotes analysis of interdependence within the system, making option B the best answer.
NEW QUESTION # 77
A clothing company wants to predict sales figures based on the amount spent on advertising.
Which type of regression analysis should this company use?
Answer: A
Explanation:
When predicting a continuous outcome based on a single predictor, data-driven decision making recommends simple linear regression. In this case, sales figures are continuous, and advertising spend is a single explanatory variable.
Linear regression models the relationship between one independent variable and one dependent variable by estimating a straight-line relationship. Time series regression is used when data are indexed over time, logistic regression is used for binary outcomes, and multiple linear regression requires multiple predictors.
Because the company is using only advertising spend to predict sales,linear regressionis the most appropriate method. Therefore, the correct answer isB.
NEW QUESTION # 78
Which analytic used in healthcare is calculated as a proportion of new cases compared to person-time units?
Answer: D
Explanation:
Theincidence rateis a healthcare analytic calculated as the number ofnew casesof a condition divided by person-time units at risk. In data-driven decision making, this metric is essential for understanding how quickly new cases occur within a population over time.
Person-time accounts for both the number of individuals and the duration they are observed, making the incidence rate particularly useful when populations are dynamic or when observation periods vary. This distinguishes incidence rate from cumulative incidence, which measures new cases over a fixed population and time period without person-time adjustment.
Prevalence measures existing cases at a point in time, and morbidity is a broader term describing illness burden rather than a specific rate calculation.
Because the question explicitly referencesnew cases compared to person-time units, the correct answer isB, incidence rate.
NEW QUESTION # 79
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