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Prepared by Reliability Analysis Center under contact to Defense Supply Center Columbus. September 1999, 121 p.
This report provides basic instruction in statistics and its applications to reliability engineering. General probability and statistical concepts are explained and specific statistical tools are introduced by considering their applications to measuring reliability, demonstrating reliability, reliability growth testing, sampling, statistical quality control, and process improvement. Statistical tools are powerful aids to reliability engineering and related disciplines. However, many people, including engineers, consider the process of mastering statistics to be painful. This book is an attempt to provide the reliability practitioner a reasonable capability in the use of statistical tools without the pain. For this reason, discussion of statistical theory will be kept to a minimum, and useful tools will be demonstrated by showing their practical application to various reliability engineering tasks.<strong>Table Of Contents <strong>What You Need To Know About Probability When Events are Independent When Events are Mutually Exclusive When Events are Not Independent In Summary <strong>Introduction To Statistics Many Ways to be "Average" Ways to Measure Spread Introduction to Distributions Testing Hypotheses For Further Study <strong>Some Distributions And Their Uses Discrete Distributions Continuous Distributions In Summary <strong>Measuring Reliability General Principles The Versatile Weibull Distribution Measuring Reliability of Repairable Systems Measuring Reliability of "One-Shot" Products <strong>Demonstrating Reliability Zero Failure Tests Tests Allowing Failures Testing Under the Exponential Distribution Other Test Considerations <strong>Reliability Growth Testing Duane Growth Analysis AMSAA Growth Analysis <strong>Sampling (Polling) And Statistical Quality Control Measuring Quality from Samples Demonstrating Acceptability Through Sampling Statistical Quality Control <strong>Using Statistics To Improve Processes Designing Experiments Is There Really a Difference? How Strong is the Correlation? <strong>Closing Comments Appendix. Poisson Probabilities Appendix. Cumulative Poisson Probabilities Appendix. The Standard Normal Distribution Appendix. The Chi-Square Distribution Appendix. The Student t Distribution Appendix. Critical Values of the F Distribution for Tests of Significance
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Practical Statistical Tools for the Reliabilit y Engineer
Reliability Analysis Center RAC is a DoD Information Analysis Center sponsored by the Defense Technical Information Center and operated by IIT Research Institute, Rome, NY
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Practical Statistical Tools for the Reliability Engineer
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