CRC Standard Probability and Statistics Tables and Formulae, Student Edition

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.

About the author

Daniel Zwillinger, Stephen Kokoska

Summary

A reference for basic statistics and probability. It contains various standardized statistical tables and formulae typically needed and material on basic statistics topics, such as probability theory and distributions, regression, analysis of variance, nonparametric statistics, and statistical quality control.

Product details

• Authors: Stephen Kokoska, Daniel Zwillinger, Kokoska Stephen, Zwillinger Daniel
• Publisher: Taylor and Francis
• Content: Book
• Product form: Paperback / Softback
• Publication date: 29.03.2000
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous
• EAN: 9780849300264
• ISBN: 978-0-8493-0026-4
• Pages: 234
• Illustrations: schwarz-weiss Illustrationen, Raster,schwarz-weiss, Tabellen, schwarz-weiss
• Dimensions (packing): 15.6 x 23.4 x 1.6 cm
• Weight (packing): 430 g
• Subjects: MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics, Regression Analysis, analysis of variance, Random Variables, probability density function, statistical inference, Nonparametric methods, tolerance intervals, Data Sets, Cumulative Distribution Function, Bernoulli distribution, quality control statistics, Continuous Random Variable, Chi Square Distribution, probability theory concepts, Standard Normal Random Variable, advanced probability tables reference, Ungrouped Data, Rejection Region, Finite Population Correction Factor, Joint Probability Mass Function, Independent Normal Random Variables, Joint Density Function, Erlang Random Variable, Normal random variable, Independent Standard Normal Random Variables, Mom Estimator, Numerical Summary Measures, Operating Characteristic Curves, Cauchy Random Variable, Rayleigh Random Variable, Columbia County, Generalized Hypergeometric Function