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Old 12th March 2006, 02:58 PM
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Please Help! How to calculate tolerance intervals for non-normal data?
Hello All,

I am a new guy here. First, I would like to thank the forum creators and participants. It is a cool place!

I have a question which made me find this place . I was asked to calculate the tolerance intervals for a given sample size for non-normal data ( say Weibull ) with certain confidence level and reliability ( population within the tolerance limits ). I was able to do this by using the homegrown software. However, I want to know the math ( simplified if possible ) beyond that. For normal data , it seems, I have found papers desribing the math. I would highly appreciate if anybody could help me find/understand the math for non-normal data.


Regards,
learner
Last edited by Govind; 12th March 2006 at 05:30 PM. Reason: Title was just "no". Rephrased the title to reflect the intent of the thread.
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Old 12th March 2006, 05:41 PM
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Default Global Engineer Hand Book 7 edition
http://www.ncees.org/exams/study_mat...book/index.php

Enjoy. Page 197 Formulas and Page Statistics.

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Old 12th March 2006, 05:49 PM
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Old 12th March 2006, 07:53 PM
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Javier,
Thank you for the link. I will look at it for the answers.
Learner
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Old 13th March 2006, 10:11 AM
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Maybe I am slow, but I did not see the formula for tolerance intervals for a normal distribtion, nor for non-normal data.
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Old 13th March 2006, 12:29 PM
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Default Page 197 Variance Formulas
Page 197 Variance Formulas
Page 189 Statical Control

LC= AVERAGE +-3 sigma
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Old 13th March 2006, 01:46 PM
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Quote:
Originally Posted by jrubio

Page 197 Variance Formulas
Page 189 Statical Control

LC= AVERAGE +-3 sigma
Those are NOT tolerance intervals, but are confidence interval.
See my white paper on it: http://www.statisticaloutsourcingservices.com/ss.htm


Besides, they are for normal data anyway.
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Old 13th March 2006, 02:56 PM
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Default The Tolerance limits are stablish by the specifications,
The Tolerance limits are stablished by the specifications and it does not depend of the distribution.

The designer stablish the Tolerance Limits, after that the distribution must be within this Tolerance,

The distributionn has Contorol Limits that must be within Tolerance Limits to be a capable process
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