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Guidance on How to (Justify) such Sample Sizes

View: 87

Website | Edit Freely

Category QC Supervisor, Process Engineer, Manufacturing Engineer

Deadline: December 03, 2018 | Date: December 05, 2018

Venue/Country: Online, U.S.A

Updated: 2018-10-08 14:38:49 (GMT+9)

Call For Papers - CFP


This webinar explains the logic behind sample-size choice for several

statistical methods that are commonly used in verification or validation

efforts, and how to express a valid statistical justification for a chosen

sample size.

Areas Covered in the Session:

Rationales for sample size choices when using

Confidence Intervals

Attribute data

Variables data

Statistical Process Control C harts

Who Will Benefit:

QA/QC Supervisor

Process Engineer

Manufacturing Engineer

QA/QC Technician

Manufacturing Technician

R&D Engineer

Speaker Profile:

John N. Zorich has spent almost 40 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 next 15

years were as a consultant in the areas of QA/QC and Statistics.

Event Fee: One Dial-in One Attendee Price: US$150.00

Contact Detail:

Compliance4All DBA NetZealous,

Phone: +1-800-447-9407


Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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