Guidance on How to (Justify) such Sample Sizes
View: 164
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 usingConfidence IntervalsAttribute dataVariables dataStatistical Process Control C hartsWho Will Benefit:QA/QC SupervisorProcess EngineerManufacturing EngineerQA/QC TechnicianManufacturing TechnicianR&D EngineerSpeaker 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$150.00Contact Detail:Compliance4All DBA NetZealous,Phone: +1-800-447-9407Email: supportcompliance4All.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.