Enhanced descriptions from Syndetics:

This is a thoroughly revised edition of a classic basic statistics text, ideal for students with a good mathematics background who are starting to learn statistics. This fourth edition includes a chapter on multiple regression, has additional material on acceptance sampling, and places greater emphasis on graphical methods of data analysis. Like earlier editions, it is packed with examples, exercises, and larger projects, including plenty of computing exercises in Minitab.

Table of contents provided by Syndetics

• Preface to the fourth edition
• Introduction
• List of projects
• Notation
• 1 Populations and variates
• 2 Measures of the centre of a set of observations
• 3 Samples and populations
• 4 The measurement of variability
• 5 Looking at data
• 6 Probability
• 7 Probabilities of compound events
• 8 Discrete random variables
• 9 Expectation of random variables
• 10 Joint distributions
• 11 Estimation
• 12 Collecting data
• 13 Significance testing
• 14 Continuous random variables
• 15 The normal distribution
• 16 Sampling distributions of means and related quantities
• 17 Significance tests using the normal distribution
• 18 Estimation of intervals and parameters
• 19 Hypothesis tests using the y2 distribution
• 20 The Poisson distribution
• 21 Correlation
• 22 The analysis of variance
• 23 Simple linear regression
• 24 Multiple regression
• Appendix I The binomial series expansion
• Appendix II The exponential function
• Appendix III Derivatives and integrals of the exponential function
• Appendix IV Integrals related to the normal distribution
• Appendix V The limit of (1 + x/n)n as n OC OC
• Appendix VI A derivation of the Poisson distribution
• Appendix VII Partial differentiation
• Bibliography
• Answers
• Hints on computing exercises
• Tables
• Index

Author notes provided by Syndetics