C4A – Statistical Tolerance Intervals & Limits: What, Why, How, & Alternatives

March 11, 2020 @ 10:00 am – 11:00 am


By John N. Zorich


A Statistical Tolerance Interval (TI) is a range of values on either side of a sample average that includes a specified proportion of the population from which the sample was drawn; the likelihood that that range includes at least the specified proportion of the population is given by a specified % confidence. This webinar explains. 

  • Practical uses for TI’s
  • Theoretical foundation for TI’s 
  • How TI Limits are calculated
  • How to decide whether or not the raw sample data needs to be “transformed”
  • How to decide on which “transformation” to use
  • How to calculate TI Limits based upon “transformed” data
  • How to reverse-transform TI Limits back into units of the raw sample data
  • An alternative to TI’s
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