NF ISO 16269-6
Statistical interpretation of data - Part 6 : determination of statistical tolerance intervals
ISO 16269-6:2013 describes procedures for establishing statistical tolerance intervals that include at least a specified proportion of the population with a specified confidence level. Both one-sided and two-sided statistical tolerance intervals are provided, a one‑sided interval having either an upper or a lower limit while a two-sided interval has both upper and lower limits. Two methods are provided, a parametric method for the case where the characteristic being studied has a normal distribution and a distribution‑free method for the case where nothing is known about the distribution except that it is continuous. There is also a procedure for the establishment of two‑sided statistical tolerance intervals for more than one normal sample with common unknown variance.
ISO 16269-6:2013 describes procedures for establishing statistical tolerance intervals that include at least a specified proportion of the population with a specified confidence level. Both one-sided and two-sided statistical tolerance intervals are provided, a one‑sided interval having either an upper or a lower limit while a two-sided interval has both upper and lower limits. Two methods are provided, a parametric method for the case where the characteristic being studied has a normal distribution and a distribution‑free method for the case where nothing is known about the distribution except that it is continuous. There is also a procedure for the establishment of two‑sided statistical tolerance intervals for more than one normal sample with common unknown variance.
ISO 16269-6:2005 describes procedures for establishing tolerance intervals that include at least a specified proportion of the population with a specified confidence level. Both one-sided and two-sided statistical tolerance intervals are provided, a one-sided interval having either an upper or a lower limit while a two-sided interval has both upper and lower limits. Two methods are provided, a parametric method for the case where the characteristic being studied has a normal distribution and a distribution-free method for the case where nothing is known about the distribution except that it is continuous.
- Avant-proposiv
- Introductionv
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1 Domaine d'application1
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2 Références normatives1
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3 Termes, définitions et symboles1
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4 Méthodes3
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5 Exemples5
- Annexe A (informative) Facteurs k exacts pour les intervalles statistiques de dispersion pour une distribution normale12
- Annexe B (informative) Formulaires pour les intervalles statistiques de dispersion17
- Annexe C (normative) Facteurs de la limite statistique de dispersion unilatérale, kC(n; p; 1- alpha), pour un écart-type de la population, sigma, inconnu20
- Annexe D (normative) Facteurs de la limite statistique de dispersion bilatérale, kD(n; m; p; 1- alpha), pour un écart-type commun de la population, sigma, inconnu (m échantillons)26
- Annexe E (normative) Intervalles statistiques de dispersion non paramétriques (Loi de distribution indéterminée)41
- Annexe F (informative) Algorithmes de détermination des facteurs pour des intervalles statistiques de dispersion bilatéraux paramétriques43
- Annexe G (informative) Construction d'un intervalle statistique de dispersion non paramétrique pour un type de distribution quelconque45
- Bibliographie47
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