Chapter 9. Tests of Hypotheses
Published Online: 11 APR 2003
DOI: 10.1002/0471458716.ch9
Copyright © 2003 John Wiley & Sons, Inc.
Book Title

Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap
Additional Information
How to Cite
Chernick, M. R. and Friis, R. H. (2003) Tests of Hypotheses, in Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471458716.ch9
Publication History
- Published Online: 11 APR 2003
- Published Print: 21 FEB 2003
ISBN Information
Print ISBN: 9780471411376
Online ISBN: 9780471458715
- Summary
- Chapter
Keywords:
- one-tailed test;
- two-tailed test;
- p-value;
- type I error;
- type II error;
- power function;
- paired t-test;
- sensitivity;
- specificity;
- meta-analysis;
- Bayesian methods;
- group sequential methods
Summary
Definition of hypothesis testing
The null and alternative hypotheses
Type I and Type II errors
Critical region, or rejection region
Definition of a test of significance
Neyman–Pearson Test Formulation
Test of a mean (H0: μ=μ0), assuming that the population variance is known…
One-tailed versus Two-tailed Tests
Statistical power and power functions
Two sample t-tests
Paired t-tests with examples of applications
How confidence intervals compare to hypothesis tests
Definitions of sensitivity and specificity
