Evaluation of Statistical Data

Milan Holický
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Milan Holický: Czech Technical University in Prague, Klokner Institute, Department of Structural Reliability

Chapter Chapter 3 in Introduction to Probability and Statistics for Engineers, 2013, pp 29-41 from Springer

Abstract: Abstract The evaluation of statistical data representing a random sample taken from a particular population is frequently moment the first step in many engineering and scientific tasks. The concept of a general population and the random samples taken from it is introduced and supplemented by the definition of commonly used sample characteristics. Emphasis is put on the characteristics, summarized in Appendix 1, that usually provide the initial background information for the specification of a theoretical model of population. Sample characteristics regularly used in engineering and science describe the location, dispersion, asymmetry and kurtosis of statistical data. The general rules and computational techniques used for determining sample characteristics of a single random sample, and also for the combination of two random samples, are illustrated by examples.

Keywords: Single Random Sample; Kurtosis; Scientific Task; Moment Characteristics; Central Moments (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38300-7_3

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DOI: 10.1007/978-3-642-38300-7_3

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