Chapter 7. Sampling Distributions for Means
Published Online: 11 APR 2003
DOI: 10.1002/0471458716.ch7
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) Sampling Distributions for Means, in Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471458716.ch7
Publication History
- Published Online: 11 APR 2003
- Published Print: 21 FEB 2003
ISBN Information
Print ISBN: 9780471411376
Online ISBN: 9780471458715
- Summary
- Chapter
Keywords:
- population distributions;
- sampling distribution;
- the central limit theorem;
- standard error of the mean;
- Z distribution;
- Student's t-distribution
Summary
Strategy of statistical inference
Creating a sampling distribution
The Central Limit Theorem
Population distribution and sample size in relation to shape of sampling distributions
Definition of the standard error of the mean
Z-transformation when the population standard deviation is known
Approximate Z-scores for large sample sizes
Use of the Students t-statistic when the population standard deviation is unknown