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A logistics company analyzes delivery times (in hours) for five remote locations: 12.4, 14.1, 13.7, 19.2, and 16.6. A manager mistakenly computes the mean deviation from the highest value rather than from the mean. Which of the following best describes the impact of this error on the interpretation of variability in delivery times?
It has no impact on the interpretation of variability because absolute distances remain proportionally constant.
It minimizes the metric, falsely implying that the deliveries are highly consistent and tightly clustered around a central value.
It artificially inflates the metric, falsely implying that delivery times are much more volatile and inconsistent than they actually are.
The metric simply shifts by a flat scalar value equal to the range, keeping the internal proportions intact.
It artificially inflates the metric, falsely implying that delivery times are much more volatile and inconsistent than they actually are.
Practice and solve "A logistics company analyzes delivery times (in hours) for five remote locations: 12.4, 14.1, 13.7,..." for Part 2 Numerical Ability - CILMTElectrical 2026. The correct answer is Option C: It artificially inflates the metric, falsely implying that delivery times are much more volatile and inconsistent than they actually are.. Detailed step-by-step solution, conceptual clarity, and formulas on Examoogle.
Practice and solve "A logistics company analyzes delivery times (in hours) for five remote locations: 12.4, 14.1, 13.7,..." for Part 2 Numerical Ability - CILMTElectrical 2026. The correct answer is Option C: It artificially inflates the metric, falsely implying that delivery times are much more volatile and inconsistent than they actually are.. Detailed step-by-step solution, conceptual clarity, and formulas on Examoogle.