Overview: This webinar explains the basics, by using a t-test as an example. One of the very many possible formulas is then demonstrated, as well as 2 different software programs and their "Power Curves". Why should you Attend: Whenever a test of statistical significance is conducted with the hope that the result will be non-significant, the results may be unacceptable to a regulatory agency unless the test had an acceptable level of "power". Areas Covered in the Session: Vocabulary and Concepts t-Tests and p-values Statistical Power Who Will Benefit: QA/QC Supervisor Process Engineer Manufacturing Engineer QC/QC Technician Speaker Profile: John N. Zorich has spent 35 years in the medical device manufacturing industry; the first 20 years were as a "regular" employee in the areas of R&D, Manufacturing, QA/QC, and Regulatory; the last 15 years were as consultant in the areas of QA/QC and Statistics. Contact Detail: Compliance4All DBA NetZealous, Phone: +1-800-447-9407 Email: [email protected]