We need your consent to use the individual data so that you can see information about your interests, among other things. Click "OK" to give your consent.
Standard Practice for Calculating Sample Size to Estimate, With a Specified Tolerable Error, the Average for Characteristic of a Lot or Process
STANDARD published on 10.10.2000
Designation standards: ASTM E122-00
Note: WITHDRAWN
Publication date standards: 10.10.2000
SKU: NS-40905
The number of pages: 5
Approximate weight : 15 g (0.03 lbs)
Country: American technical standard
Category: Technical standards 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. |
||
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. |
||
2. Referenced Documents | ||
|
Do you want to make sure you use only the valid technical standards?
We can offer you a solution which will provide you a monthly overview concerning the updating of standards which you use.
Would you like to know more? Look at this page.
Latest update: 2024-09-02 (Number of items: 2 345 509)
© Copyright 2024 NORMSERVIS s.r.o.