Contents
Other Sites
Books
- Ruling out chance as an explanation
- The null hypothesis
- Steps in hypothesis testing
- Why the null hypothesis is not accepted
- The precise meaning of the p value
- At what level is H0 really rejected?
- Statistical and practical significance
- Type I and II errors
- One- and two-tailed tests
- Confidence intervals and hypothesis testing
- Following a nonsignificant finding
- Exercises
For a practical application of significance testing in business decisions see "An Appreciation of the Role of Statistical Hypotheses in Decision Making" by P.K. Viswanathan.
Instructional
Demos
Tests
of proportions
by Charles Stanton
Text
Hypothesis
testing: Does chance explain the results?
by P. B. Stark
Hypothesis
testing part 1, Hypothesis
testing part 2
by Keith Dear
Testing
statistical hypotheses
by H. J. Newton, J. H. Carroll, N. Wang, and D. Whiting
Hypothesis
testing
by David Stockburger
Difference between
means: Type I and Type II errors and power
by T. D. V. Swinscow; revised by M. J. Campbell
Hypothesis
testing
by Will Hopkins of the University of Otago
Interpreting significant
and nonsignificant p values
by Harvey Motulsky, GraphPad Software
On the link
between error bars and statistical significance
by Harvey Motulsky, GraphPad Software
Absence of
evidence is not evidence of absence
by Douglas G. altman and J. Martin Bland
Probability
and Hypothesis Testing (PDF)
by Bruce Weaver
Hypothesis Tests
by StatTrek
Statistics
As Principled Argument
by Robert P. Abelson
Concepts
and Controversies
by David S. Moore
Forgotten
Statistics : A Self-Teaching Refresher Course
by Jeffrey Clark