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DTSTART:19700308T020000
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UID:2140535:Event:64866
DTSTAMP:20260521T203915Z
SUMMARY:Webinar On Confidence / Reliability Calculations & Statistical
 ly Valid Sample Sizes
DESCRIPTION:All manufacturing and development companies perform testin
 g and/or inspections that involve concluding whether or not a product 
 or lot is acceptable vs. design or QC specifications. Such test/inspec
 tions may occur during design verification/validation or during incomi
 ng or final QC.\nThe most informative method for analyzing the data th
 at results from such activities is the calculation of the product's or
  lot's \"reliability\" at a chosen \"confidence\" level (where \"relia
 bility\" means \"in-specification\"). Such a method produces informati
 on that is more valuable than simply that the given product or lot \"p
 assed\" (as is the case when \"AQL Attribute Sampling Plans\" are used
 ) or a % in-specification statement without any corresponding confiden
 ce statement (as is the case with AQL Variables Sampling Plans and wit
 h Process Capability calculations).\nThe output of a \"Confidence/Reli
 ability\" calculation is a definitive statement that the given product
  or lot has a specific % in-specification, which conclusion we can sta
 te with a specific level of confidence (e.g., 95% confidence of 99% re
 liability, or 90% confident of 93% reliability\").\nAreas Covered in t
 he Session :\nThe seminar begins with a discussion of relevant regulat
 ory requirements, as motivation for calculating \"confidence/reliabili
 ty\". Then, some vocabulary and basic concepts are discussed.\nNext, d
 etailed descriptions are given for how to calculate confidence/reliabi
 lity for data that is either pass/fail (i.e., \"attribute\" data), nor
 mally-distributed measurement data, non-normally distributed measureme
 nt data that can be transformed into normality, or non-normally distri
 buted measurement data that cannot be transformed into normality.  Sp
 readsheets are shown as examples of how to implement the methods descr
 ibed in the seminar. A final discussion is provided on how to introduc
 e the methods into a company.\nAll the above is captured in these bull
 et points:\nRegulatory Requirements\nVocabulary and Concepts\nAttribut
 e Data\nNormal Data\nNormal Probability Plotting\nNon-Normal Data that
  can be normalized\nReliability Plotting (for data that cannot be norm
 alized)\nImplementation Recommendations\nWho Will Benefit:\nA must att
 end webinar for all\nQA / QC Supervisors\nProcess Engineers\nManufactu
 ring Engineers\nQA / QC Technicians\nManufacturing Technicians\nR&D En
 gineers\nPrice Tags:\nLive\nSingle Live : For One Participant\n$ 249\n
 Corporate Live : For Max. 10 Participants\n$ 899\nRecording\nSingle RE
 C : For One Participant - Unlimited Access for 6 Months\n$ 299\nFor mo
 re information and enquiries contact us at\nCompliance Trainings\n5939
  Candle brook Ct, Mississauga, ON L5V 2V5, Canada  Customer Support
 : 416-915-4458  Email: support@compliancetrainings.com\nFor more inf
 ormation about this event please visit\nhttps://compliancetrainings.co
 m/SiteEngine/ProductDetailView.aspx?id=FDB1273\n\nFor more information
  visit https://medtechiq.ning.com/events/webinar-on-confidence-reliabi
 lity-calculations-statistically
DTSTART;TZID=America/New_York:20141113T130000
DTEND;TZID=America/New_York:20141113T143000
CATEGORIES:webinar
LOCATION:Online
WEBSITE:https://compliancetrainings.com/SiteEngine/ProductDetailView.a
 spx?id=FDB1273
URL:https://compliancetrainings.com/SiteEngine/ProductDetailView.aspx?
 id=FDB1273
CONTACT:4169154458
ORGANIZER:Compliance Trainings
ATTACH;FMTTYPE="image/jpeg":http://storage.ning.com/topology/rest/1.0/
 file/get/2562012111?profile=original
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN=complianc
 etrainings:https://medtechiq.ning.com/profile/compliancetrainings
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