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API SPEC 14L: Lock Mandrels and Landing Nipples : Reaffirmed

$

273

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API SPEC 20F: Corrosion Resistant Bolting for Use in the Petroleum and Natural Gas Industries : Reaffirmed

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169

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API TR 5NCL Nickel Content Limits for API 5CT Sour Service Products

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149

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API SPEC 19ICD: Inflow Control Devices : Reaffirmed

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189

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API MPMS CH 23.2: Reconciliation of Liquid Tank Car(s) Quantities : Reaffirmed

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218

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API SPEC 16A: Specification for Drill-through Equipment

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API RP 13B-2: Field Testing Oil-based Drilling Fluids wA1

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ISO 3301:1975

ISO 3301:1975 Statistical interpretation of data – Comparison of two means in the case of paired observations

CDN $76.00

SKU: 37c1d3b4a232 Category:

Description

A method is specified for comparing the mean of a population of differences with zero or any other preassigned value. It may be applied to establish a difference between two treatments, where “treatment” should be understood in a wide sense, e.g. as a test method, measuring instrument or laboratory involved, and is applicable under the conditions that the series of differences can be considered as a series of independent random items and the distribution of the differences is normal or approximately normal. If the distribution deviates from the normal, it remains valid provided the sample size is sufficiently large (100 and more).

Edition

1

Published Date

1975-08-01

Status

PUBLISHED

Pages

6

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

A method is specified for comparing the mean of a population of differences with zero or any other preassigned value. It may be applied to establish a difference between two treatments, where "treatment" should be understood in a wide sense, e.g. as a test method, measuring instrument or laboratory involved, and is applicable under the conditions that the series of differences can be considered as a series of independent random items and the distribution of the differences is normal or approximately normal. If the distribution deviates from the normal, it remains valid provided the sample size is sufficiently large (100 and more).

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