Statistics and Data Analysis

Andrew F. Siegel, Charles J. Morgan

648 pages, parution le 04/12/2002 (2^eme édition)

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Résumé

Introductory statistics book for the non-technical person that integrates the traditional foundations of statistical inference with the more modern ideas of data analysis. The book is divided into three parts. Part One is concerned with data in general and with describing groups of numbers. Part Two develops the ideas of randomness, probability, and statistical inference. Part Three moves forward, applying these ideas to more complex data structures and the analysis of relationships.

Contents

Ch. 1 Introduction
I. Describing Groups of Numbers
Ch. 2 The Shape of a Group of Numbers
Ch. 3 Describing Distributions
Ch. 4 Describing a Normal Distribution and Summarizing Binary Data
Ch. 5 Basics of Data Transformation
Ch. 6 Choosing a Description
II. Probability, Sampling, and Tests of Statistical Significance
Ch. 7 Probability
Ch. 8 Random Variables, Probability Distributions, and the Central Limit Theorem
Ch. 9 Toward Statistical Inference
Ch. 10 Confidence Intervals
Ch. 11 Testing a Hypothesis About the Mean
Ch. 12 Comparing Two Groups of Numbers
Ch. 13 Analysis of Variance: Several Groups of Numbers
Ch. 14 Categorical Data and Chi-Square Analysis
Ch. 15 Bivariate Data and Regression
Appendix A Table of Probabilities for a Standard Normal Random Variable
Appendix B Table of Random Uniform Numbers Between 0 and 1
Appendix C t-Tables
Appendix D F-Tables
Appendix E The Correlation Coefficient
Appendix F Chi-square Tables
Appendix G Nonparametric Confidence Interval and Sign Test
Notes
References
Answers to Selected Problems

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Andrew F. Siegel, Charles J. Morgan
Parution	04/12/2002
Édition	2^eme édition
Nb. de pages	648
Format	20,5 x 26
Couverture	Relié
Poids	1375g
Intérieur	Noir et Blanc
EAN13	9780471574248