Identifying Data Affected by Aberrant Errors. Applied Program

Abstract

Statistical survey has become a very powerful tool for understanding reality and interpreting it and prediction. Nevertheless, even with the accepted margin for errors, a survey’s results may be inconcludent. This is mostly due to sample data quality. In this article, we refer to two tests to identify and eliminate aberrant errors, and at the end we present a program for applying these tests.

Keywords

• Chauvenet
• Young
• program