Description
CRC Standard Probability and Statistics Tables and Formulae, Student Edition
Author: Kokoska Stephen
Language: English
Subject for CRC Standard Probability and Statistics Tables and...:
Keywords
Cumulative Distribution Function; Numerical Summary Measures; Bernoulli Distribution; Random Variables; Chi Square Distribution; Generalized Hypergeometric Function; Standard Normal Random Variable; Independent Standard Normal Random Variables; Finite Population Correction Factor; Data Sets; Tolerance Intervals; Probability Density Function; Continuous Random Variable; Normal Random Variable; Columbia County; Ungrouped Data; Joint Density Function; Independent Normal Random Variables; Erlang Random Variable; Rejection Region; Mom Estimator; Cauchy Random Variable; Operating Characteristic Curves; Joint Probability Mass Function; Rayleigh Random Variable
Publication date: 08-2017
· 15.6x23.4 cm · Hardback
Publication date: 03-2000
200 p. · 15.6x23.4 cm · Paperback
Description
/li>Contents
/li>Readership
/li>Biography
/li>
Users of statistics in their professional lives and statistics students will welcome this concise, easy-to-use reference for basic statistics and probability. It contains all of the standardized statistical tables and formulas typically needed plus material on basic statistics topics, such as probability theory and distributions, regression, analysis of variance, nonparametric statistics, and statistical quality control.
For each type of distribution the authors supply:
? definitions
? tables
? relationships with other distributions, including limiting forms
? statistical parameters, such as variance and generating functions
? a list of common problems involving the distribution
Standard Probability and Statistics: Tables and Formulae also includes discussion of common statistical problems and supplies examples that show readers how to use the tables and formulae to get the solutions they need. With this handy reference, the focus can shift from rote learning and memorization to the concepts needed to use statistics efficiently and effectively.
