Data variability

Caroline Visentin

Chapter 39 in Elgar Encyclopedia of Life Cycle Sustainability Assessment, 2026, pp 133-136 from Edward Elgar Publishing

Abstract: Data variability is a common issue in data analysis and interpretation. It refers to the degree to which data points deviate from the average or expected value. It is an important concept in data analysis as it affects the accuracy and reliability of statistical models. Variance, range, and standard deviation are all important measures used to assess variability within a dataset. There are several causes of data variability that can impact the quality of the results obtained from data analysis. Understanding data variability in sustainability assessments is a critical aspect of the life cycle sustainability assessment (LCSA) process. The aim of this entry is to provide an overview of date variability, also including interval and standard deviation variance, as well as the relationship between date variability and life cycle sustainability assessment.

Keywords: Data Variability; Statistical Analysis; Variance; Standard Deviation; Range; Life Cycle Sustainability Assessment (LCSA) (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035309887
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