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| Section | Objectives |
|---|---|
| Decision Making Models | - Decision trees and expected value analysis - Risk and uncertainty in decision-making |
| Hypothesis Testing | - Null and alternative hypotheses - t-tests, chi-square tests, and significance testing |
| Data Fundamentals and Business Analytics | - Descriptive statistics (mean, median, variance, standard deviation) - Data types and data collection methods |
| Regression and Correlation Analysis | - Linear regression modeling - Interpreting correlation and causation |
| Probability and Statistical Inference | - Sampling methods and sampling error - Probability concepts and distributions |
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NEW QUESTION # 34
How should a marketing consulting firm perform a cluster analysis for a new granola bar?
Answer: C
Explanation:
Cluster analysisis an unsupervised learning technique used to group observations based on similarity. In data- driven decision making, it is commonly used formarket segmentation, allowing firms to identify distinct customer groups with similar preferences or behaviors.
For a new granola bar, cluster analysis helps determine which consumer segments exist, such as health- conscious buyers, convenience-focused consumers, or price-sensitive shoppers. This enables targeted marketing strategies and product positioning.
Understanding reasons for purchase requires survey or causal analysis, not clustering. Competitor benchmarking and trend analysis involve different analytical techniques.
Therefore, the correct answer isB, determining different segments or groups to target.
NEW QUESTION # 35
Two project teams are assigned to upgrade an on-premise data warehouse to a cloud-based data lake in 13 months. The infrastructure team has five team members, while the enterprise analytics team has three team members. The enterprise analytics team cannot move into production until the infrastructure team has completed the migration.
What should be used to find the probability that the project will be completed on time?
Answer: B
Explanation:
This scenario requires the use of **conditional probability**, which applies when the likelihood of one event depends on the occurrence of another event. In data-driven decision making, conditional probability is used to model dependent events within processes, workflows, and project timelines.
In this case, the enterprise analytics team's ability to move into production is **dependent on** the infrastructure team completing the migration. Because one event cannot occur unless another event has already occurred, the probability of completing the project on time must account for this dependency.
The multiplication principle applies to independent events, Bayes' theorem updates probabilities based on new information, and combinations are used for counting outcomes, not dependency analysis. Conditional probability explicitly captures the relationship between dependent tasks.
Project risk analysis and scheduling often rely on conditional probability to assess completion likelihood when tasks are sequentially linked. Therefore, the correct answer is **C**, conditional probability.
NEW QUESTION # 36
A hospital is restructuring its business and administrative functions.
Which component of service delivery could be analyzed with a data analytics approach to help determine whether the hospital is adequately staffed for each shift?
Answer: D
Explanation:
Patient-to-staff ratiosare a critical analytic measure for determining whether a hospital is adequately staffed for each shift. In data-driven decision making, staffing adequacy is best assessed by examining workload demand relative to available personnel.
Patient-to-staff ratios directly reflect how many patients each staff member is responsible for during a given shift. High ratios may indicate understaffing, increased risk of burnout, and reduced quality of care, while lower ratios suggest more manageable workloads and better patient outcomes.
Staff productivity levels measure efficiency but do not directly capture demand. Education levels reflect qualifications rather than staffing sufficiency. Patient satisfaction is an outcome metric and may be influenced by many factors beyond staffing levels.
By analyzing patient-to-staff ratios across shifts, hospital administrators can identify imbalances, allocate resources more effectively, and improve operational efficiency. Therefore, the correct answer isB.
NEW QUESTION # 37
Which performance metric simultaneously accounts for financial, customer, internal process, and learning metrics?
Answer: B
Explanation:
The balanced scorecard is the performance framework that simultaneously accounts for financial, customer, internal process, and learning and growth metrics. It was developed to provide a more complete view of organizational performance than financial measures alone. By incorporating these four perspectives, organizations can connect day-to-day activities with long-term strategy and ensure that performance is evaluated in a balanced way. Financial measures show economic results, customer measures reflect market and service outcomes, internal process measures track operational efficiency and quality, and learning metrics focus on improvement, capability development, and organizational growth. A customer complaint report addresses only one narrow area. A balance sheet and an income statement are financial documents and do not capture the full multidimensional view described in the question. Because the question asks for the metric that integrates all four of these important performance areas, the correct answer is balanced scorecard.
NEW QUESTION # 38
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: D
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 # 39
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