Height and weight are examples of what type of data?

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Prepare for the UCF GEB4522 Data Driven Decision Making Final Exam. Use flashcards and multiple choice questions to study. Familiarize yourself with key concepts and methodologies to excel on the test!

Height and weight are classified as ratio data because they possess all the characteristics of both interval and ratio scales, with the added feature of an absolute zero point. In the case of height and weight, zero represents a true absence of the measured attribute—there is no height and no weight at zero.

Furthermore, ratio data allow for meaningful comparisons and mathematical operations. For instance, one can say that a person who weighs 200 pounds is twice as heavy as someone who weighs 100 pounds, which emphasizes the proportional relationship inherent in ratio measurements.

Nominal data involves categorizing without any natural order, ordinal data reflects ordered categories without a consistent scale, and interval data has meaningful spacing between values but lacks a true zero. Height and weight, with their clear quantitative properties and true zero point, fit the definition of ratio data perfectly.