Statistical Intervals: A Guide for Practitioners
by Gerald J. Hahn and William Q. Meeker and, published by John Wiley &
(Series: Wiley Series in Probability and Mathematical Statistics -
Applied Probability and Statistics Section)
Presents a detailed exposition of statistical intervals and
emphasizes applications in industry. The discussion differentiates
at an elementary level among different kinds of statistical
intervals and gives instruction with numerous examples and simple
math on how to construct such intervals from sample data. This
includes confidence intervals to contain a population percentile,
confidence intervals on probability of meeting specified threshold
value, and prediction intervals to include observation in a future
Introduction, Basic Concepts, and Assumptions.
Overview of Different Types of Statistical Intervals.
Constructing Statistical Intervals Assuming a Normal Distribution Using Simple
Methods for Calculating Statistical Intervals for a Normal
Distribution-Free Statistical Intervals.
Statistical Intervals for Proportions and Percentages (Binomial
Statistical Intervals for the Number of Occurrences
Sample Size Requirements for Confidence
Intervals on Population Parameters.
Sample Size Requirements for
Tolerance Intervals, Tolerance Bounds, and Demonstration Tests.
Sample Size Requirements for Prediction Intervals.
A Review of
Other Statistical Intervals.
Other Methods for Setting Statistical
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Software for Statistics
Click here for information on StInt.
StInt is a simple command-driven Dos program that can be used to
compute most of the statistical intervals in Hahn and Meeker
(1991). This program was developed and used for the purpose of doing
the examples in Hahn and Meeker. Included in the distribution is a
user's manual and an input file showing how to replicate almost all
of the analyses in Hahn and Meeker.