Statistical interpretation of data;Interval estimation of parameter in binomial distribution
time:
2024-08-10 15:47:46
- GB 4087.2-1983
- Abolished
Standard ID:
GB 4087.2-1983
Standard Name:
Statistical interpretation of data;Interval estimation of parameter in binomial distribution
Chinese Name:
数据的统计处理和解释 二项分布参数的区间估计
Standard category:
National Standard (GB)
-
Date of Release:
1983-12-21 -
Date of Implementation:
1984-10-01 -
Date of Expiration:
2009-01-01
Standard ICS number:
Mathematics, Natural Science >> 07.020 MathematicsChina Standard Classification Number:
Comprehensive>>Basic Subjects>>A41 Mathematics
alternative situation:
Replaced by GB/T 4088-2008
Release date:
1983-12-21Review date:
2004-10-14Drafter:
Sun Shanze, Zhou Saihua, Bi Jian, Xu ZongDrafting Organization:
Working Group D of the Data Processing and Interpretation Subcommittee of the National Technical Committee for Standardization of Statistical MethodsFocal point Organization:
National Technical Committee for Application of Statistical Methods and StandardizationProposing Organization:
National Technical Committee for Application of Statistical Methods and StandardizationPublishing Department:
National Bureau of StandardsCompetent Authority:
National Standardization Administration
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Summary:
For details, please refer to this standard GB 4087.2-1983 Statistical processing and interpretation of data Interval estimation of binomial distribution parameters GB4087.2-1983 Standard download decompression password: www.bzxz.net
For details, please refer to this standard
For details, please refer to this standard
Some standard content:
1 Introduction
National Standard of the People's Republic of China
Statistical Interpretation of dataInterval estimation of parameter in binomial distribution
Statistical Interpretation of dataInterval estimation of parameter in binomial distribution1.1 The statistical terms used in this standard can be found in the national standard GB3358-82 "Statistical Terms and Symbols". UDC 519.25bZxz.net
GB4087.2-83
1.2 Suppose that some individuals in the population have a certain characteristic, and p is the proportion of individuals with this characteristic in the population. For example, p can be the proportion of defective products in a batch of products. A number of individuals are randomly and independently selected from the population as samples. This standard specifies the method for interval estimation of the population parameter P based on such samples. 1.3 For a finite population, let its size be N and the sample size be n. When the sampling is with replacement; or when the sampling is without replacement, but \0.1, the n samplings can be considered independent. 1.4 The number of individuals with a certain characteristic among individuals randomly and independently selected is the observation of a random variable X that follows a binomial distribution. The probability that x takes the value x is P{X=xln,p) = (\)p*(1-p) nx x=0.1,2,*,n2 The two-sided confidence interval and one-sided confidence interval of the ratio p are (pL,Pu), where 0
Tip: This standard content only shows part of the intercepted content of the complete standard. If you need the complete standard, please go to the top to download the complete standard document for free.
National Standard of the People's Republic of China
Statistical Interpretation of dataInterval estimation of parameter in binomial distribution
Statistical Interpretation of dataInterval estimation of parameter in binomial distribution1.1 The statistical terms used in this standard can be found in the national standard GB3358-82 "Statistical Terms and Symbols". UDC 519.25bZxz.net
GB4087.2-83
1.2 Suppose that some individuals in the population have a certain characteristic, and p is the proportion of individuals with this characteristic in the population. For example, p can be the proportion of defective products in a batch of products. A number of individuals are randomly and independently selected from the population as samples. This standard specifies the method for interval estimation of the population parameter P based on such samples. 1.3 For a finite population, let its size be N and the sample size be n. When the sampling is with replacement; or when the sampling is without replacement, but \0.1, the n samplings can be considered independent. 1.4 The number of individuals with a certain characteristic among individuals randomly and independently selected is the observation of a random variable X that follows a binomial distribution. The probability that x takes the value x is P{X=xln,p) = (\)p*(1-p) nx x=0.1,2,*,n2 The two-sided confidence interval and one-sided confidence interval of the ratio p are (pL,Pu), where 0
Tip: This standard content only shows part of the intercepted content of the complete standard. If you need the complete standard, please go to the top to download the complete standard document for free.
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