Pharmaceuticals 2011 - Statistics in Quality Control - Critical decisions-Risks & Basics

This 90-minute training on Statistics in Quality Control will cover statistical interpretation related to Quality Control test results and process indicators in the pharmaceutical industry.

Why Should You Attend:

Quality control tests in pharmaceutical industry carries a burden on its own, as these tests are usually complicated, time consuming and expensive, and in many cases wrong interpretation of test results lead to disastrous situations. Any QC test is not considered successful until the resulting data are analyzed statistically and are complied within specifications limits. Wrong interpretation of the tests results can cost the company since it can end with a perfectly good batch being rejected.

Statistics in QC is a crucial element in deciding the acceptance or rejection of a product. Statistical interpretation of the test results is key to the complete understanding of tests results and criteria, and statistics based sampling plans is key to a comprehensive and efficient sampling system.