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GB/T 4882-2001 English PDF

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GB/T 4882-2001: Statistical interpretation of data -- Normality tests
Status: Valid

GB/T 4882: Evolution and historical versions

Standard IDContents [version]USDSTEP2[PDF] delivered inStandard Title (Description)StatusPDF
GB/T 4882-2001English754 Add to Cart 4 days [Need to translate] Statistical interpretation of data -- Normality tests Valid GB/T 4882-2001
GB/T 4882-1985EnglishRFQ ASK 3 days [Need to translate] Statistical interpretation of data--Normality tests Obsolete GB/T 4882-1985

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Basic data

Standard ID GB/T 4882-2001 (GB/T4882-2001)
Description (Translated English) Statistical interpretation of data. Normality tests
Sector / Industry National Standard (Recommended)
Classification of Chinese Standard A41
Classification of International Standard 03.120.30
Word Count Estimation 33,389
Date of Issue 2001-03-05
Date of Implementation 2001-09-01
Older Standard (superseded by this standard) GB/T 4882-1985
Quoted Standard GB/T 3358.1-1993;
Adopted Standard ISO 5479-1997; IDT
Issuing agency(ies) State Quality and Technical Supervision
Summary 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.

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Answer: Yes. Unless special scenarios such as technical constraints or academic study, you should always prioritize to purchase the latest version GB/T 4882-2001 even if the enforcement date is in future. Complying with the latest version means that, by default, it also complies with all the earlier versions, technically.

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