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Contents

Introduction to Statistics
Describing Univariate Data
Describing Bivariate Data
Introduction to Probability
(elementary)
Normal Distribution
Sampling Distributions
Point Estimation
Confidence Intervals
The Logic of Hypothesis
Testing
Testing Hypotheses
with Standard Errors
Power
Introduction to Between-Subjects
ANOVA
Factorial Between-Subjects
ANOVA
Within-Subjects/Repeated
Measures ANOVA
Prediction
Chi Square
Distribution-Free Tests
Measuring Effect Size
© 1993-2013 David M. Lane
Email me at:
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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.

Office for Everyone

Admission Advice and help for
Online PhD Programs

SharewareCentral.com
Software Downloads for your PC
Free Web Directory
Free Support from University academics
about Online PhD courseware

DegreeJungle's Best Online Colleges for 2013
Number Sleuth
e-books for Excel
Getting Started with Excel 2010
Creating and Auditing Formulas In Microsoft® Excel® 2010
Resources for Spanish Teachers
Help with relationships
Personal Training
with Kettlebells in San Diego

Feedback
Please let me know of any errors you discover and/or any sections you
find confusing. Please email me at
to send feedback.
Statistics and data
sources
Web Awards

Glossaries
HyperStat
STEPS
Mongoose Metrics
Statistics Explained
Concept Stew
Stat Trek

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Recommend HyperStat to your friends on Facebook
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