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DTSTART:19700308T020000
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UID:2140535:Event:66431
DTSTAMP:20260519T210001Z
SUMMARY:Webinar On Normality Tests and Normality Transformations
DESCRIPTION:Description :\nThe calculations used in many statistical t
 ests and methods require that the inputted data be “normally distrib
 uted”. Such calculations include those for t-Tests, ANOVA tables, F-
 tests, Tolerance limits, and Process Capability Indices. Unless the ra
 w data used in such calculations is “normally distributed”, the re
 sulting conclusions may be incorrect.\nTherefore, being able to assess
  whether or not data is “normally distributed” is critical to ensu
 ring that your “valid statistical techniques” are “suitable for 
 their intended use” (as required by the FDA).\nDimensional data (len
 gth, width, height) are typically normally distributed. But many other
  types of data sets are almost always non-normal, such as: tensile str
 ength, burst pressure, and time or cycles to failure. Some non-normal 
 data can be transformed into normality, in order to then allow statist
 ical calculations to be valid when run on the transformed data.\nThis 
 webinar explains what it means to be “normally distributed”, how t
 o assess normality, how to test for normality, and how to transform no
 n-normal data into normal data.\nNormality Tests and normality transfo
 rmations are a combination of graphical and numerical methods that hav
 e been in use for many decades. These methods are essential to apply w
 henever a statistical test or method is used whose fundamental assumpt
 ion is that the inputted data is normally distributed.\nNormality “t
 esting” involves creating a “normal probability plot” and calcul
 ating simple statistics for comparison to critical values in published
  tables. A normality “transformation” involves making simple chang
 es to each of the raw-data values, such that the resulting values are 
 more normally distributed than the original raw data.\nEvaluation of t
 he results of “tests” and “transformations” involves some obje
 ctive and some subjective decisions; this webinar provides guidance on
  both types of decision making.\nAreas Covered in the Session :\nRegul
 atory requirements\nBinomial distribution\nHistorical origin of the No
 rmal distribution\nNormal distribution formula, histogram, and curve\n
 Validity of Normality transformations\nNecessity for transformation to
  Normality\nHow to use Normality transformations\nNormal Probability P
 lot\nHow to evaluate Normality of raw data and transformed data\nSigni
 ficance tests for Normality\nEvaluating the results of a Normality tes
 t\nRecommendations for implementation\nRecommended reference textbooks
 \nWho Will Benefit:\nQA/QC Supervisor\nProcess Engineer\nManufacturing
  Engineer\nQC/QC Technician\nManufacturing Technician\nR&D Engineer\nP
 rice tags:\nLive\nSingle Live : For One Participant\n$ 249\nCorporate 
 Live : For Max. 10 Participants\n$ 899\nRecording\nSingle REC : For On
 e Participant - Unlimited Access for 6 Months\n$ 299\nFor more informa
 tion and enquiries contact us at\nCompliance Trainings\n5939 Candlebro
 ok Ct, Mississauga, ON L5V 2V5, Canada  Customer Support : #416-915
 -4458  Email : support@compliancetrainings.com\nFor more information
  about this event please visit\nhttps://compliancetrainings.com/SiteEn
 gine/ProductDetailView.aspx?id=MD1278\n\nFor more information visit ht
 tps://medtechiq.ning.com/events/webinar-on-normality-tests-and-normali
 ty-transformations
DTSTART;TZID=America/New_York:20150624T130000
DTEND;TZID=America/New_York:20150624T140000
CATEGORIES:webinar
LOCATION:Canada
WEBSITE:https://compliancetrainings.com/SiteEngine/ProductDetailView.a
 spx?id=MD1278
URL:https://compliancetrainings.com/SiteEngine/ProductDetailView.aspx?
 id=MD1278
CONTACT:4169154458
ORGANIZER:Compliance Trainings
ATTACH;FMTTYPE="image/jpeg":
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN=complianc
 etrainings:https://medtechiq.ning.com/profile/compliancetrainings
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