Introduction to Statistics and Data Analysis[1]
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Published:2000
Abstract
This article discusses statistical concepts that form the basis of most of the following articles on specific areas of applied statistics and data analysis. It reviews some of the basic concepts that must be understood to successfully apply the statistical procedures, including probability, random variables, degrees of freedom, confidence limits and intervals, and reliability. Descriptive statistics, measures of central tendency, confidence limits and intervals, and degrees of freedom are also discussed.
Richard C. Rice, Introduction to Statistics and Data Analysis, Mechanical Testing and Evaluation, Vol 8, ASM Handbook, Edited By Howard Kuhn, Dana Medlin, ASM International, 2000, https://doi.org/10.31399/asm.hb.v08.a0009212
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