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GB/T 4882-2001Statistical interpretation of data -- Normality tests (English PDF)

数据的统计处理和解释 正态性检验

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Issued by

State Quality and Technical Supervision

Level / Type

National · Recommended

Issue date

March 5, 2001

Implementation date

September 1, 2001

Scope

GB/T 4882-2001 is the English-translated version of 数据的统计处理和解释 正态性检验.

GB/T 4882-2001 — This standard specifies: a guide, observations on the assumption of mutual independence, determine whether the distribution is normal whether hypothesis is rejected methods and testing.

When the normal distribution of the observed values ??are in doubt, using normal deviate test is useful for -, even necessary -. T-test to check the use of a random sample of observations means a departure from a given the theoretical value, This is the case a Lie.

However, robust methods (ie, the observed value true when the probability distribution is not normal, conclusions only slightly changes) under the circumstances, deviation from normal testing is not necessary -.

It is not strictly necessary to use such a test, while statistical methods based on the assumption of normality involved. Observations it may be completely normal in doubt -, may be theoretical (such as physical -) constitutes a reason for this assumption, may also be affected by prior information based on this assumption.

The standard deviation from the normal distribution is for non-packet inspection the raw data, rather than packet data. Test does not apply to censored data. The standard deviation from the normal distribution test can be applied to the observed value, may also be applied to them function, such as logarithm, square root.

When the sample size is less than 8, deviate normal distribution test results are very poor -.

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Document preview — GB/T 4882-2001

National Standard of the People's Republic of China

ICS
03.120.30
Classification
A 41
Replacing
GB/T 4882-1985

Issued by: State Quality and Technical Supervision

Contents

  • What this standard covers1
  • Document data2
  • Standards quoted by this document3

What this standard covers

This standard specifies: a guide, observations on the assumption of mutual independence, determine whether the distribution is normal whether hypothesis is rejected methods and testing. When the normal distribution of the observed values ??are in doubt, using normal deviate test is useful for -, even necessary -. T-test to check the use of a random sample of observations means a departure from a given the theoretical value, This is the case a Lie. However, robust methods (ie, the observed value true when the probability distribution is not normal, conclusions only slightly changes) under the circumstances, deviation from normal testing is not necessary -. It is not strictly necessary to use such a test, while statistical methods based on the assumption of normality involved. Observations it may be completely normal in doubt -, may be theoretical (such as physical -) constitutes a reason for this assumption, may also be affected by prior information based on this assumption. The standard deviation from the normal distribution is for non-packet inspection the raw data, rather than packet data. Test does not apply to censored data. The standard deviation from the normal distribution test can be applied to the observed value, may also be applied to them function, such as logarithm, square root. When the sample size is less than 8, deviate normal distribution test results are very poor -. Therefore, the standard sample size limit is at least 8.

Document data

International classification (ICS): 03.120.30.

Chinese classification (CCS): A41.

Estimated length of the Chinese original: 33,375 words.

Adopted international standard: ISO 5479-1997; IDT.

Supersedes the earlier edition GB/T 4882-1985.

Standards quoted by this document

GB/T 3358.1-1993

......
This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 22 pages — is available in the English PDF.

Referenced standards

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