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  1. Introduction to Statistics
  2. Describing Univariate Data
  3. Describing Bivariate Data
  4. Introduction to Probability
  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

1993-2001 David M. Lane

Recommended Books: Listed below are some of the best textbooks for statistics instruction, statistical analysis software, reference, and explanations of statistical calculations.

Statistics for the Utterly Confused
by Lloyd Jaisingh

A good introduction to statistics, somewhat easer than HyperStat.

SPSS Windows Step by Step: A Simple Guide and Reference by Darren George and Paul Mallery

This book delivers what it promises! The step by step insructions are easy to follow.

Applied Statistics and the SAS Programming Language by Ronald P. Cody, Ron Cody, and Jeffrey Smith

An excellent beginner's guide to SAS. Examples are drawn from medicine, education, psychology, business, and other fields.

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

An excellent resource for the professional who needs to brush up on statistics.

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

A good non-mathematical introduction to statistics.

Intuitive Biostatistics by Harvey Motulsky

An excellent and easy to understand introduction to biostatistics.

Fundamental Statistics for the Behavioral Sciences with CDRom
by David Howell

I use this book in conjunction with HyperStat in the introductory to psychological statistics course I teach. It is well written with good clear explanations. It includes repeated-measures ANOVA, which is essential for medical, psychological, and educational applications.

Reading and Understanding Multivariate Statistics
by Laurence Grimm and Paul Yarnold

Good conceptual coverage with many examples. Avoids mathematical derivations.

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

This book sets the standard for introductory statistics books. Extremely well written with lots of examples and exercises.


Need help or statistical instruction / training? I've compiled a list of Statistical Consultants and Tutors.

Statistics and data sources



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

The little handbook of statistical practice by Gerard E. Dallal

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

Introduction to data collection and analysis by Albert Goodman of Deakin University

Statistics: The study of stability in variation by Jan de Leeuw of UCLA.

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

Statistics 30X class notes by H. J. Newton, J. H. Carroll, N. Wang, and D. Whiting of Texas A&M.

DAU stat refresher by A. Rao, P. McAndrews, A Sunkara, V. Patil, R. Bellary, G. Quisumbing, H. Le, Z. Zhou from Defense Acquisition University

Stat notes: An Online Textbook, by G. David Garson of North Carolina State University

Humor
For the lighter side of statistics visit Gary Ramseyer's Gallery of Statistics Jokes

Statistician Jokes compiled by Joachim Verhagen

Statistics Jokes
compiled by Del Harnisch

Statistics ?! Don't make me laugh!
Compiled by Jill Binker

More statistics jokes
Compiled by Joachim Verhagen

 

Printed Version
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