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Upper Limit On Lot Percent Defective Given a No Defectives Sample
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Statistics for Engineering Series #1, When a sample of size n is randomly selected from a lot of size N (N Large), there is a finite probability that the sample will contain no defective pieces. This paper addresses the question of what inferences may be made about the lot percent defective in this instance. - By Kenneth C. Syracuse, Ph.D, Balan Biomedical Inc.
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Testing for Outliers in Small to Moderate Samples
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Statistics for Engineering Series #2: The presence of outliers in a sample data set can have a great effect on subsequent analyses. It is important to determine if a causal relationship exists which may allow for the removal of the point as coming from a unit no longer homogeneous with the remaining units.
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Monte-Carlo Method: Generating Standard Normal Random Deviate
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Statistics for Engineering Series #3: Although the name is synonymous with the gambling mecca of the
world, the concept of the monte-carlo simulation is not a method to
improve your chances of beating the house. A monte-carlo simulation
is a method of solving mathematical problems by simulation of the
associated random variables.
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© 2007-2010 BALAN BIOMEDICAL, INC.
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