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| Section | Objectives |
|---|---|
| Probability and Statistical Inference | - Sampling methods and sampling error - Probability concepts and distributions |
| Data Fundamentals and Business Analytics | - Descriptive statistics (mean, median, variance, standard deviation) - Data types and data collection methods |
| Decision Making Models | - Risk and uncertainty in decision-making - Decision trees and expected value analysis |
| Regression and Correlation Analysis | - Interpreting correlation and causation - Linear regression modeling |
| Hypothesis Testing | - t-tests, chi-square tests, and significance testing - Null and alternative hypotheses |
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NEW QUESTION # 96
For which situation could a scatter diagram be used?
Answer: C
Explanation:
Ascatter diagramis used to visually examine therelationship between two quantitative variables. In data- driven decision making, scatter diagrams help analysts assess whether variables move together, whether the relationship is positive, negative, or nonexistent, and whether the relationship appears linear or nonlinear.
Each point on a scatter diagram represents a paired observation of two variables, such as advertising spend and sales revenue or hours studied and test scores. Patterns in the plotted points can suggest correlation, which may later be explored using regression analysis. Scatter diagrams are exploratory tools and do not, by themselves, establish causation.
A prioritization matrix ranks options, frequency differences are examined using bar or Pareto charts, and differences in means are evaluated using hypothesis tests such as t-tests or ANOVA. Therefore, the correct application of a scatter diagram is to demonstraterelationships between variables, making optionBcorrect.
NEW QUESTION # 97
A manager has been asked to evaluate the risk of loss for a new business strategy. The manager plots the results of several simulated projections to determine the likelihood of a result being a loss. Which statistic will transform different data sets to the same scale so that the manager can compare the projections?
Answer: C
Explanation:
A z score is used to standardize values from different data sets so they can be compared on the same scale. It expresses how far a value lies from the mean in terms of standard deviations. This makes it especially useful when a manager needs to compare simulated projections that may have different averages and different spreads. By converting the results into z scores, the manager can evaluate relative performance and risk across otherwise non-comparable distributions. Median and mode describe central tendency, but they do not place values on a common standardized scale. Variance measures dispersion, but it does not directly convert or normalize observations for comparison. In risk analysis and simulation-based decision-making, standardization is often necessary when results come from multiple scenarios, models, or assumptions. Z scores provide that standard frame of reference and allow meaningful interpretation of whether a projected loss is unusually high, low, or typical within its own distribution. Therefore, the correct answer is z score because it transforms different data sets to a common comparison scale.
NEW QUESTION # 98
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: B
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 # 99
What must be analyzed using powerful analytic tools?
Answer: B
Explanation:
Big datamust be analyzed using powerful analytic tools due to its volume, velocity, and variety. In data- driven decision making, traditional tools are often insufficient for processing massive, complex datasets generated from digital platforms, sensors, and transactions.
Big data requires advanced computing power, specialized software, and sophisticated algorithms to extract meaningful insights. Inferential statistics and small datasets can often be handled with conventional statistical tools.
Therefore, the correct answer isC, big data.
NEW QUESTION # 100
How does a balanced scorecard (BSC) differ from a key performance indicator (KPI)?
Answer: C
Explanation:
Akey performance indicator (KPI)measures performance in asingle critical area, such as revenue growth or customer satisfaction. In contrast, abalanced scorecard (BSC)provides amulti-dimensional view of organizational performance, typically across financial, customer, internal process, and learning perspectives.
Data-driven decision making emphasizes that relying on a single metric can lead to incomplete or biased conclusions. The BSC addresses this by integrating multiple KPIs into a cohesive framework aligned with strategic objectives.
Therefore, optionAcorrectly explains the distinction between a KPI and a BSC.
NEW QUESTION # 101
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