3. Confidence Intervals

  1. Steven K. Thompson

Published Online: 10 FEB 2012

DOI: 10.1002/9781118162934.ch3

Sampling, Third Edition

Sampling, Third Edition

How to Cite

Thompson, S. K. (2012) Confidence Intervals, in Sampling, Third Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118162934.ch3

Author Information

  1. Simon Fraser University, Canada

Publication History

  1. Published Online: 10 FEB 2012
  2. Published Print: 23 FEB 2012

Book Series:

  1. Wiley Series in Probability and Statistics

Book Series Editors:

  1. Walter A. Shewhart and
  2. Samuel S. Wilks

ISBN Information

Print ISBN: 9780470402313

Online ISBN: 9781118162934

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Keywords:

  • confidence interval;
  • finite-population central limit theorem;
  • sampling distribution

Summary

A confidence interval procedure uses the data to determine an interval with the property that—viewed before the sample is selected—the interval has a given high probability of containing the true population value. This chapter begins wit a discussion of confidence interval for the population mean or total. It then explains finite-population central limit theorem and sampling distributions. One way to look at the sampling distribution of an estimator those results from using a particular design with a particular population is to use a very small population and small sample size, so that every possible sample may be listed. Finally, the chapter presents notes on confidence interval computation.

Controlled Vocabulary Terms

central limit theorem; confidence interval; mean; sampling distribution