{"id":32741,"date":"2024-10-17T04:01:52","date_gmt":"2024-10-17T04:01:52","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/astm-e122-4\/"},"modified":"2024-10-24T14:34:32","modified_gmt":"2024-10-24T14:34:32","slug":"astm-e122-4","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/astm\/astm-e122-4\/","title":{"rendered":"ASTM-E122"},"content":{"rendered":"<\/p>\n
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.<\/p>\n
PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
---|---|---|---|---|---|---|---|
1<\/td>\n | Scope Referenced Documents Terminology <\/td>\n<\/tr>\n | ||||||
2<\/td>\n | Significance and Use Empirical Knowledge Needed Precision Desired Equations for Calculating Sample Size <\/td>\n<\/tr>\n | ||||||
3<\/td>\n | Reduction of Empirical Knowledge to a Numerical Value of (Data for Previous Samples Available) TABLE 1 <\/td>\n<\/tr>\n | ||||||
4<\/td>\n | Reduction of Empirical Knowledge to a Numerical Value for (No Data from Previous Samples of the Same or Like Material Available) FIG. 1 <\/td>\n<\/tr>\n | ||||||
5<\/td>\n | Consideration of Cost Selection of the Sample FIG. 2 <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" E122-00 Standard Practice for Calculating Sample Size to Estimate, With a Specified Tolerable Error, the Average for Characteristic of a Lot or Process<\/b><\/p>\n |