Calculating, and Using Statistical Power 2017

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

Contact Detail:
Compliance4All DBA NetZealous,
Phone: +1-800-447-9407
Email: [email protected]

Speaker and Presenter Information

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.