GB/T 4088-2008Statistical interpretation of data Estimation and hypothesis test of parameter in binomial distribution (English PDF)

1 Scope

This standard specifies the test methods and estimation of binomial distribution.

Substandard products in the ratio of products. Overall randomly and independently drawn a number of individuals as a sample. This standard specifies the sample based on such

Limited overall, set the size of N (N should be sufficiently large), sample size shape. When the extraction is back, or when the extraction is without replacement,

But like

N < 0.1

When, like extraction time can be considered independent.

2 Normative references

The following documents contain provisions which, through reference in this standard and become the standard terms. For dated references, subsequent

Amendments (not including errata content) or revisions do not apply to this standard, however, encourage the parties to the agreement are based on research

Whether the latest versions of these documents. For undated reference documents, the latest versions apply to this standard.

GB/T 4086.2 Tables for statistical distributions chi2 distribution

GB/T 4086.4 Tables for statistical distributions F distribution

ISO 3534-1.2006 Statistics Vocabulary and symbols - Part 1. General statistical terms and terms used in probability

ISO 3534-2.2006 Statistics Vocabulary and symbols - Part 2. Applied Statistics

3 Terms, definitions and symbols

ISO 3534-1.2006, ISO 3534-2.2006 and GB/T 19000-2000 and to determine the terms and definitions of the following terms, definitions

And symbols apply to this standard. For ease of reference, certain terminology and symbols directly from the above criteria.

Shaped sample size

1-alpha level of confidence interval estimation

X0 number of individual samples with the desired characteristics

Type I error probability alpha significance test

Type II error probability beta significance test

alpha 'if the null hypothesis is true, the probability that the null hypothesis is rejected

beta 'error when the null hypothesis, the probability that the null hypothesis of no refusal

H0 null hypothesis significance testing

Alternative hypothesis H1 significance test

The probability P {A} Event A

The number of individuals N finite population contained […]