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Calculating, and Using Statistical Power 2017


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Who should attend?

QA/QC Supervisor Process Engineer Manufacturing Engineer QC/QC Technician Manufacturing Technician R&D Engineer

Details

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

Prices

One Dial-in One Attendee Price: US$150.00

Contact

Event Manager
support@compliance4all.com

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