HyperStat Online Statistics Textbook

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  1. Introduction to Statistics
  2. Describing Univariate Data
  3. Describing Bivariate Data
  4. Introduction to Probability (elementary)
  5. Normal Distribution
  6. Sampling Distributions
  7. Point Estimation
  8. Confidence Intervals
  9. The Logic of Hypothesis Testing
  10. Testing Hypotheses with Standard Errors
  11. Power
  12. Introduction to Between-Subjects ANOVA
  13. Factorial Between-Subjects ANOVA
  14. Within-Subjects/Repeated Measures ANOVA
  15. Prediction
  16. Chi Square
  17. Distribution-Free Tests
  18. Measuring Effect Size
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David Lane is an Emeritus Professor of Psychology, Statistics, and Management at Rice University

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Statistics and data sources

Web Awards

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Other Sources

NIST/SEMATECH e-Handbook of Statistical Methods

Stat Primer by Bud Gerstman of San Jose State University

Statistical forecasting notes by Robert Nau of Duke University
related: RegressIt Excel add-in by Robert Nau

CADDIS Volume 4: Data Analysis (EPA)

The little handbook of statistical practice
by Gerard E. Dallal of Tufts University

Stat Trek Tutorial

Statistics at square 1 by T. D. V. Swinscow; revised by M. J. Campbell, University of Southampton

Concepts and applications of inferential statistics by Richard Lowry of Vassar College

CAST by W. Douglas Stirling of Massey University

SticiGui by P. B. Stark of UC Berkeley

I get a small commission if you buy from Amazon after following one of these links.

Statistics for the Utterly Confused
by Lloyd Jaisingh

A good introductory statistics book, somewhat more elementary than HyperStat.

The Visual Display of Quantitative Information
by Edward R. Tufte

This book is "must" reading for anyone creating or interpreting graphs. Beautifully done.

Intuitive Biostatistics by Harvey Motulsky

An excellent and easy to understand introduction to biostatistics.


Chances Are : The Only Statistics Book You'll Ever Need
by Stephen Slavin

A good non-mathematical introduction to statistics.

The Cartoon Guide to Statistics
by Larry Gonick and Woollcott Smith

A humorous and easy-to-understand supplement to a textbook on statistics.