ASTM E122-2000
为估算一批产品或者一次加工过程的制品的质量对样品尺寸的选择的标准规程
Standard Practice for Calculating Sample Size to Estimate, With a Specified Tolerable Error, the Average for Characteristic of a Lot or Process
ASTM E122-2000 发布历史
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.
1.1 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.
ASTM E122-2000由美国材料与试验协会 US-ASTM 发布于 2000。
ASTM E122-2000 在中国标准分类中归属于: A00 标准化、质量管理。
ASTM E122-2000的历代版本如下：
- 2000年10月10日 ASTM E122-00 计算样本量以估计的标准实践 具有指定的容差 批次或过程特征的平均值
- 2007年10月01日 ASTM E122-07 用于计算样本大小的标准实践 以指定的精度估计 批次或过程的特征的平均值
- 2009年08月01日 ASTM E122-09 用于计算样本大小的标准实践 以指定的精度估计 批次或过程的特征的平均值
- 2011年08月01日 ASTM E122-09e1 用于计算样本大小的标准实践 以指定的精度估计 批次或过程的特征的平均值
- 2017年04月01日 ASTM E122-17 用于计算样本大小的标准实践 以指定的精度估计 批次或过程的特征的平均值
- ASTM E122-17 (2017) ASTM E122-17 (2017)
- 2022年04月01日 ASTM E122-17(2022) 以规定精度估算批次或过程特征平均值的计算样本量的标准实施规程
- 1999年 ASTM E122-1999 为估算一批产品或者一次加工过程的制品的质量对样品尺寸的选择的标准规程
- 2000年 ASTM E122-2000 为估算一批产品或者一次加工过程的制品的质量对样品尺寸的选择的标准规程
- 2007年 ASTM E122-2007 评估指定精度下一个批量或过程的性能平均值用试样尺寸的计算用标准实施规程
- 2009年 ASTM E122-2009 按规定的精度估算一批产品或一次加工过程特性曲线均值的样品尺寸计算用标准实施规程
- 2009年 ASTM E122-2009e1 计算样本大小,以便按指定精度估算批量品质或工艺品质的平均值的标准操作规程
- 2000年10月10日 ASTM E122-99 计算样本量以估计的标准实践 具有指定的容差 批次或过程特征的平均值
- 标准号
- ASTM E122-2000
- 发布日期
- 2000年
- 实施日期
- 废止日期
- 无
- 中国标准分类号
- A00
- 国际标准分类号
- 03.120.30 (Application of statistical methods)
- 发布单位
- US-ASTM
- 适用范围
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.
1.1 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.