Whether you are a statistician, engineer, or businessperson, you need statistics. You want to be able to easily reference tables, find formulas, and know how to use them so you can extract information from data without getting bogged down by advanced statistical methods. Your goal is to determine the appropriate statistical procedures and interpret the results. Standard Probability and Statistics: Tables and Formulae provides the tools you need to do just that.
Logically organized and reaching far beyond a mere catalog, a textual description accompanies each entry- most include an example. The topics addressed are directly applicable to modern business and engineering as well as to statistics, including regression analysis, ANOVA, decision theory, signal processing, and control theory. The result is an accessible, example-oriented handbook that supplies the basic principles, the most commonly used values, and the information to make them work for you.
It is easy to fill a statistics reference with hundreds of pages of tables - sometimes for just one test. This handbook is much more. With topics ranging from classical statistics to modern applications, Standard Probability and Statistics fills the need for an up-to-date, authoritative statistics reference.
"This book is in the form of a handbook, providing tables and comprehensive lists of definitions, concepts, theorems and formulae… Its emphasis is on basic statistics, but also covers many advanced topics… Almost every table is accompanied by a textual description and at least one example that uses a value from the table. Most concepts are illustrated with examples and step-by-step solutions."
-European Mathematical Society Newsletter, No. 41 (September 2001)
"This book provides a survey of modern "basic statistics and probability …The figures suggest an inspirative view on statistical problems…most concepts are illustrated with examples…a very useful book for statisticians, but not only for statisticians."
-P. Fronek, Zentralblatt für Mathematik, Praha
Functions of Random Variables
Discrete Probability Distributions
Continuous Probability Distributions
Standard Normal Distribution
Analysis of Variance
Quality Control and Risk Analysis
General Linear Models