BS 2846-3:1975

Co-operating organizations
Foreword
Guide
Section one. Formal presentation of results
General remarks
Tables
   1 One-sided statistical tolerance interval (known
       variance)
   2 Two-sided statistical tolerance interval (known
       variance)
   3 One-sided statistical tolerance interval (unknown
       variance)
   4 Two-sided statistical tolerance interval (unknown
       variance)
Section two. Examples
Introductory remarks
Numerical examples
Annexes
A Case of any distribution
B Statistical tables
   5 One-sided statistical tolerance interval, sigma
       known, m unknown. Values of the coefficient k1
       (n, p, 1-alpha)
   6 Two-sided statistical tolerance interval, sigma
       known, m unknown. Values of the coefficient k'1
       (n, p, 1-alpha)
   7 One-sided statistical tolerance interval, m,
       sigma unknown. Values of the coefficient k2 (n,
       p, 1-alpha)
   8 Two-sided statistical tolerance interval, m,
       sigma unknown. Values of the coefficient k'2 (n,
       p, 1-alpha)
   9 Non-parametric one-sided statistical tolerance
       intervals - Sample size n for a proportion p at
       confidence level 1-alpha
   10 Non-parametric two -sided tolerance intervals -
       Sample size n for a proportion p at confidence
       level 1-alpha
Nomographs
   1 One-sided statistical tolerance interval
   2 Two-sided statistical tolerance interval

Techniques for when the distribution of the characteristic being studied is and is not assumed. The interval, often referred to as \' natural limits of a process\', relates to process capability which can be established, enabling tolerances to be specified objectively.