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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 ProbabilityWhen Events are Independent When Events are Mutually ExclusiveWhen Events are Not Independent In Summary<strong>Introduction To Statistics Many Ways to be "Average"Ways to Measure Spread Introduction to DistributionsTesting HypothesesFor Further Study<strong>Some Distributions And Their UsesDiscrete Distributions Continuous DistributionsIn Summary<strong>Measuring ReliabilityGeneral PrinciplesThe Versatile Weibull Distribution Measuring Reliability of Repairable SystemsMeasuring Reliability of "One-Shot" Products<strong>Demonstrating ReliabilityZero Failure Tests Tests Allowing FailuresTesting Under the Exponential DistributionOther Test Considerations <strong>Reliability Growth Testing Duane Growth AnalysisAMSAA Growth Analysis<strong>Sampling (Polling) And Statistical Quality ControlMeasuring Quality from Samples Demonstrating Acceptability Through Sampling Statistical Quality Control <strong>Using Statistics To Improve Processes Designing ExperimentsIs There Really a Difference? How Strong is the Correlation? <strong>Closing CommentsAppendix. Poisson Probabilities Appendix. Cumulative Poisson ProbabilitiesAppendix. The Standard Normal Distribution Appendix. The Chi-Square Distribution Appendix. The Student t DistributionAppendix. 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 Ordering No.: STAT Practical Statistical Tools for the Reliability Engineer 3UHSDUHG E\ 5HOLDELOLW\ $ QDO\VLV &HQWHU 0LOO 6WUHHW 5RPH 1
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