HyperStat Online Statistics Textbook

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Contents

  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
© 1993-2013 David M. Lane
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David Lane is an Associate Professor of Psychology, Statistics, and Management at Rice University




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Statistics Help
I've compiled a list of Statistical Consultants and Statistics Tutors for help with statistical projects or simply for help with homework.

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Creating and Auditing Formulas In Microsoft® Excel® 2010

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Statistics and data sources

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Glossaries
HyperStat

STEPS

Mongoose Metrics

Statistics Explained

Concept Stew

Stat Trek

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False Conclusions in Published Literature

There as been a lot of discussion of whether most published research findings are false. Here are two of the more important references are

Ioannidis, J. P. (2005). Why most published research findings are false. PLoS medicine, 2, e124.

Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22, 1359-1366.

In my paper "Why Most Published Research Conclusions in Psychology May Not Be False" I consider two types of fasle conclusions: Type I errors and errors in estimation. The title is a bit of a spoiler. Here is the paper.





Click here for more cartoons by Ben Shabad.



Other Sources

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

SurfStat by Keith Dear of the University of Newcastle.

Introductory statistics: Concepts, models, and applications by David W. Stockburger of Southwest Missouri State University

Multivariate statistics: Concepts, models, and applications by David W. Stockburger of Southwest Missouri State University

Electronic textbook by StatSoft

A new view of statistics by Will Hopkins of the University of Otago

The knowledge base: An online research methods textbook by William M. Trochim of Cornell University

Probability and Statistics Worksheets by teAchnology

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.



Forgotten Statistics : A Self-Teaching Refresher Course
by Jeffrey Clark

An excellent book for the professional who needs to brush up on statistics and as a supplement to the textbook in a college course.

Introduction to the Practice of Statistics (3rd Ed)
by David S. Moore and George P. McCabe

This textbook sets the standard for introductory statistics books. Extremely well written with lots of examples and exercises. Used frequently in college courses and AP statistics courses.




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