Statistical interpretation of data;Test for parameter in binomial distribution
time:
2024-08-10 15:44:58
- GB 4088-1983
- Abolished
Standard ID:
GB 4088-1983
Standard Name:
Statistical interpretation of data;Test for parameter in binomial distribution
Chinese Name:
数据的统计处理和解释 二项分布参数的检验
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, Gao HuixuanDrafting Organization:
Working Group of the Subcommittee on Data Processing and Interpretation 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:
The statistical terms used in this standard can be found in the national standard GB 3358-82 "Statistical Terms and Symbols". GB 4088-1983 Statistical processing and interpretation of data Test of binomial distribution parameters GB4088-1983 standard download decompression password: www.bzxz.net
The statistical terms used in this standard can be found in the national standard GB 3358-82 "Statistical Terms and Symbols".
The statistical terms used in this standard can be found in the national standard GB 3358-82 "Statistical Terms and Symbols".
Some standard content:
National Standard of the People's Republic of China
Statistical Interpretation of data
Test for parameter In binomial distribution
Stetistical Interpretation of dataTest for parameter In binomial distribution1.1 For the statistical terms used in this standard, see the national standard GB3358--82 "Statistical Terms and Symbols". UDC 519.25
GB4088---B3bZxz.net
1.2 Assume that some individuals in the population have a certain characteristic. 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. Randomly and independently select a number of individuals from the population as samples. This standard specifies the method of testing a given hypothesis related to p based on such samples. 1.8 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 n/N<0.1, the n extractions can be considered independent. 1.4 Among n randomly and independently selected individuals, the number of individuals with a certain characteristic is ×, which is an observation of a random variable X that follows a binomial distribution. The probability that X takes the value x is P(X=xi n, p) =(\)px(1 -p)\-x when x=0,l,\, n. 1.5 Let H represent the null hypothesis and H, represent the alternative hypothesis. Po is a given value, 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.
Statistical Interpretation of data
Test for parameter In binomial distribution
Stetistical Interpretation of dataTest for parameter In binomial distribution1.1 For the statistical terms used in this standard, see the national standard GB3358--82 "Statistical Terms and Symbols". UDC 519.25
GB4088---B3bZxz.net
1.2 Assume that some individuals in the population have a certain characteristic. 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. Randomly and independently select a number of individuals from the population as samples. This standard specifies the method of testing a given hypothesis related to p based on such samples. 1.8 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 n/N<0.1, the n extractions can be considered independent. 1.4 Among n randomly and independently selected individuals, the number of individuals with a certain characteristic is ×, which is an observation of a random variable X that follows a binomial distribution. The probability that X takes the value x is P(X=xi n, p) =(\)px(1 -p)\-x when x=0,l,\, n. 1.5 Let H represent the null hypothesis and H, represent the alternative hypothesis. Po is a given value, 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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