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Guidance on How to (Justify) such Sample Sizes

View: 52

Website https://www.compliance4all.com/control/w_product/~product_id=502226LIVE?channel=ourglocal_Dec_2018_S | 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

Overview:

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

Email: support@compliance4All.com


Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.