WHITE PAPERS

Innovation in Medical Device and Consumer Health Products:

The Role of Patients and Medical Professionals, By: Elisabeth Hager, MD, MMM, Chairman and CEO, Balan Biomedical, Inc.

Upper Limit On Lot Percent Defective Given a No Defectives Sample

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.

Testing for Outliers in Small to Moderate Samples

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.

Monte-Carlo Method: Generating Standard Normal Random Deviate

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.

Testing for Adherence to a Specified Distribution, a Parametric Approach

Statistics for Engineering Series #4: Often times we are presented with data from an unknown distribution. The purpose of this paper is to provide one means of testing the data’s adherence to a specified parametric distribution.