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

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: support@compliance4All.com

Full Details & Registration Link:
http://www.compliance4all.com/control/w_product/~product_id=501563LIVE?channel=ticketprinting_Nov_2017_SEO