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| Section | Objectives |
|---|---|
| Topic 1: Regression and Correlation Analysis | - Linear regression modeling - Interpreting correlation and causation |
| Topic 2: Decision Making Models | - Risk and uncertainty in decision-making - Decision trees and expected value analysis |
| Topic 3: Data Fundamentals and Business Analytics | - Descriptive statistics (mean, median, variance, standard deviation) - Data types and data collection methods |
| Topic 4: Hypothesis Testing | - Null and alternative hypotheses - t-tests, chi-square tests, and significance testing |
| Topic 5: Probability and Statistical Inference | - Probability concepts and distributions - Sampling methods and sampling error |
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NEW QUESTION # 91
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 # 92
What is the purpose of the quality management principle of dedication to fact-based decision-making?
Answer: D
Explanation:
The principle offact-based decision-makingemphasizes using reliable data and objective analysis rather than intuition or opinion. In data-driven decision making, this principle exists primarily toreduce bias and increase trust in organizational plans and decisions.
When decisions are grounded in verified data, assumptions are challenged, personal biases are minimized, and outcomes are more predictable. This builds confidence among stakeholders and supports transparency and accountability.
Customer loyalty, waste elimination, and quality effectiveness may be indirect benefits, but the core purpose is ensuring that decisions are objective, defensible, and evidence-based. Therefore, the correct answer isD.
NEW QUESTION # 93
A retail manager collected the following sales-receipt totals from the store's cashiers:
$25, $22, $48, $42, $32, $28, $24, $54, $34, $41, $48
What is the median of this sales-receipt data?
Answer: A
Explanation:
Themedianis the middle value of a dataset when the data is arranged in ascending order. It is a key descriptive statistic used in data-driven decision making because it is resistant to extreme values.
First, sort the data in ascending order:
22, 24, 25, 28, 32,34, 41, 42, 48, 48, 54
There are 11 values in total, so the median is the 6th value. The 6th value is$34, making it the median.
The median provides insight into the typical transaction size without being influenced by unusually large receipts. Therefore, the correct answer isB.
NEW QUESTION # 94
What is a statistical process control procedure for a drill manufacturer?
Answer: A
Explanation:
Statistical process control (SPC)focuses on monitoring production processes to ensure they remain within acceptable limits. In data-driven decision making, SPC uses control charts and statistical measures to detect variation and identify whether a process is operating as intended.
For a drill manufacturer, determining whether theweight of selected drills is within a tolerable rangeis a classic SPC activity. Consistent weight indicates stable materials and manufacturing processes, while deviations may signal defects or process drift.
Market segmentation and demand forecasting are strategic analytics tasks, not process control activities.
Collaborative planning forecasting and replenishment relates to supply chain coordination rather than manufacturing quality control.
Therefore, the correct answer isB, as SPC is concerned with maintaining process consistency and product quality.
NEW QUESTION # 95
Which two characteristics must a researcher consider concerning data quality when ensuring that an analysis is based on a clean data set?
Choose 2 answers.
Answer: A,D
Explanation:
When evaluating whether a data set is clean enough for analysis, a researcher must focus on data quality dimensions that directly affect validity and usefulness. Two important characteristics are uniqueness and relevance. Data elements must be unique to prevent duplicate records from distorting counts, averages, totals, and trend analyses. Duplicate entries can lead to biased results, especially in customer, transaction, or survey data. Relevance is equally important because even accurate data are not helpful if they do not pertain to the question being studied. A clean data set should support the actual purpose of the analysis rather than merely being complete or large. The statement about age is incorrect because timeliness often matters; outdated data may no longer reflect the current environment. The statement that data cannot contain outliers is also too absolute. Outliers may be valid observations and can sometimes reveal important conditions, anomalies, or data-entry problems that require investigation rather than automatic removal. Thus, the best two characteristics are uniqueness and relevance, because both directly support meaningful, accurate, and decision- ready analysis.
NEW QUESTION # 96
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