Statistical interpretation of data;Test for parameter in binomial distribution

time: 2024-08-10 15:44:58
  • GB 4088-1983
  • Abolished

Basic Information

standard classification number

  • Standard ICS number:

    Mathematics, Natural Science >> 07.020 Mathematics
  • China Standard Classification Number:

    Comprehensive>>Basic Subjects>>A41 Mathematics

associated standards

Publication information

  • publishing house:

    China Standards Press
  • Publication date:

    1984-10-01

Other Information

  • Release date:

    1983-12-21
  • Review date:

    2004-10-14
  • Drafter:

    Sun Shanze, Gao Huixuan
  • Drafting Organization:

    Working Group of the Subcommittee on Data Processing and Interpretation of the National Technical Committee for Standardization of Statistical Methods
  • Focal point Organization:

    National Technical Committee for Application of Statistical Methods and Standardization
  • Proposing Organization:

    National Technical Committee for Application of Statistical Methods and Standardization
  • Publishing Department:

    National Bureau of Standards
  • Competent Authority:

    National Standardization Administration
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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".


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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 519.25wwW.bzxz.Net
GB4088---B3
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
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