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UID:2140535:Event:69828
DTSTAMP:20260412T093505Z
SUMMARY:Online Webinar on Understanding, Calculating, and Using Statis
 tical Power
DESCRIPTION:Overview: Statistical power is an indicator of the ability
  of a test of significance to \"detect\" a practical difference (e.g.,
  between the averages of two products that are being compared). A low 
 power typically means that the sample sizes in the study are too small
 . Without an analysis of statistical power, a conclusion of \"non-sign
 ificant\" is rightfully questionable. Unless power is high, a study ma
 y be doomed to failure even before it is begun.This webinar provides t
 horough training in how to interpret and use the power-analysis output
 ted by text-book calculations or software programs modules (e.g., Stat
 graphicsCenturionXV).\nWhy should you Attend: Whenever a test of stati
 stical significance is conducted with the hope that the result will be
  non-significant, the results may be unacceptable to a regulatory agen
 cy unless the test had an acceptable level of \"power\". FDA typically
  requires a minimum of 80% power, and often requires 90% power. Calcul
 ation of power is so complicated that it typically must be done with a
  software program. Even so, the software program's output can be misun
 derstood unless the user has a firm understanding of the basic concept
  of statistical power.This seminar explains the basics, by using a t-t
 est as an example. One of the very many possible formulas is then demo
 nstrated, as well as 2 different software programs and their \"Power C
 urves\". This webinar is designed to help you understand how the new r
 ules for the sanitary transportation of human and animal foods will im
 pact your short and long food movement logistics operations and to pro
 vide you with some of the tools needed to meet new regulations and cus
 tomer demands. Areas Covered in the Session:Vocabulary and Conceptst-T
 ests and p-valuesStatistical powerfor t-Testscritical difference to de
 tectexample calculationsPower Curves\nWho Will Benefit:QA/QC Superviso
 rProcess EngineerManufacturing EngineerQC/QC TechnicianManufacturing T
 echnicianR&D Engineer\nSpeaker Profile:John N. Zorich has spent 35 yea
 rs in the medical device manufacturing industry; the first 20 years we
 re 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. His consulting clients in the area of statistic
 s have included numerous start-ups as well as large corporations such 
 as Boston Scientific, Novellus, and Siemens Medical.\nContact Detail:C
 ompliance4All DBA NetZealous,Phone: +1-800-447-9407Email: support@comp
 liance4All.comhttp://www.compliance4all.com/Event Link : http://bit.l
 y/Statistical_PowerLinkedIn Like usTwitter Follow usFacebook Like us\n
 \nFor more information visit https://medtechiq.ning.com/events/online-
 webinar-on-understanding-calculating-and-using-statistical
DTSTART;TZID=America/New_York:20160630T100000
DTEND;TZID=America/New_York:20160630T113000
CATEGORIES:webinar
LOCATION:Online Event
WEBSITE:http://www.compliance4all.com/
URL:http://www.compliance4all.com/
CONTACT:8004479407
ORGANIZER;CN="Adam Fleming":https://medtechiq.ning.com/profile/Complia
 nce4all
ATTACH;FMTTYPE="image/jpeg":http://storage.ning.com/topology/rest/1.0/
 file/get/2562012364?profile=original
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN="Adam Fle
 ming":https://medtechiq.ning.com/profile/Compliance4all
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