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Standard Practice for Calculating Sample Size to Estimate, With a Specified Tolerable Error, the Average for Characteristic of a Lot or Process
Automaticky přeložený název:
Standardní praxe pro výpočet velikosti vzorku odhadnout , se specifikovaným Povolená chyba , průměr pro Charakteristické pro šarže nebo proces
NORMA vydána dne 10.10.2000
Označení normy: ASTM E122-00
Poznámka: NEPLATNÁ
Datum vydání normy: 10.10.2000
Kód zboží: NS-40905
Počet stran: 5
Přibližná hmotnost: 15 g (0.03 liber)
Země: Americká technická norma
Kategorie: Technické normy ASTM
Keywords:
calculating test values, empirical knowledge, sampling, size, statistical methods, ICS Number Code 03.120.30 (Application of statistical methods)
Significance and Use | ||
This practice is intended for use in determining the sample size required to estimate, with specified precision, a measure of quality of a lot or process. The practice applies when quality is expressed as either the lot average for a given property, or as the lot fraction not conforming to prescribed standards. The level of a characteristic may often be taken as an indication of the quality of a material. If so, an estimate of the average value of that characteristic or of the fraction of the observed values that do not conform to a specification for that characteristic becomes a measure of quality with respect to that characteristic. This practice is intended for use in determining the sample size required to estimate, with specified precision, such a measure of the quality of a lot or process either as an average value or as a fraction not conforming to a specified value. |
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1. Scope | ||
1.1 This practice covers simple methods for calculating how many units to include in a random sample in order to estimate with a prescribed precision, a measure of quality for all the units of a lot of material, or produced by a process. This practice will clearly indicate the sample size required to estimate the average value of some property or the fraction of nonconforming items produced by a production process during the time interval covered by the random sample. If the process is not in a state of statistical control, the result will not have predictive value for immediate (future) production. The practice treats the common situation where the sampling units can be considered to exhibit a single (overall) source of variability; it does not treat multi-level sources of variability. |
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2. Referenced Documents | ||
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