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Three times the standard deviation of the mean

Three times the standard deviation of the mean, Total:29 items.

In the international standard classification, Three times the standard deviation of the mean involves: Quality.


Japanese Industrial Standards Committee (JISC), Three times the standard deviation of the mean

  • JIS Z 9042:1962 Significance test of difference between the population mean and the standard (standard deviation known, one-sided)
  • JIS Z 9043:1962 Significance test of difference between the population mean and the standard (standard deviation known, two-sided)
  • JIS Z 9044:1962 Significance test of difference between the population mean and the standard (standard deviation unknown, one-sided)
  • JIS Z 9045:1962 Significance test of difference between the population mean and the standard (standard deviation unknown, two-sided)
  • JIS Z 9052:1963 Interval estimation of the difference between two population means (standard deviations known)
  • JIS Z 9053:1963 Interval estimation of the difference between two population means (standard deviations unknown)
  • JIS Z 9050:1963 Interval estimation of the population mean (standard deviation known)
  • JIS Z 9051:1963 Interval estimation of the population mean (standard deviation unknown)
  • JIS Z 9046:1965 Significance test of difference between the two population means (standard deviations known, one-sided)
  • JIS Z 9047:1979 Significance test of difference between the two population means (standard deviations known, two-sided)
  • JIS Z 9048:1979 Significance test of difference between the two population means (standard deviations unknown, one-sided)
  • JIS Z 9049:1965 Significance test of difference between the two population means (standard deviations unknown, two-sided)

Taiwan Provincial Standard of the People's Republic of China, Three times the standard deviation of the mean

  • CNS 8461-1983 Significance Test of Difference Between the Population Mean and the Standard (Standard Deviation Unknown One - Sided)
  • CNS 8462-1983 Significance Test of Difference Between the Population Mean and the Standard (Standard Deviation Unknown ,Two -Sided)
  • CNS 8460-1983 Significance Test of Difference Between the Population Mean and the Standard (Standard Deviation Known, Two - Sided)
  • CNS 8459-1983 Significance Test of Difference Between the Population Mean and the Standart (Standard Deviation Known ,One - Sided)
  • CNS 8550-1983 Significance Test of Differencece Between the Two Population Means(Standard Deviations Known, Two - Sided)
  • CNS 8879-1983 Interval Estimation of the Difference Between Two Population Means(Standard Deviations Known)
  • CNS 8549-1983 Significance Test of Difference Between the Two Population Means (Standard Deviations, Known, One-Side)
  • CNS 8746-1983 Significance Test of Difference Between the Two Population Means (Standard Deviations Unknown, Two-Sided)
  • CNS 8745-1983 Significance Test of Difference Between the Two Population Means(Standard Deviations Unknown, One-Sided)
  • CNS 8880-1983 Interval Estimation of the Difference Between Two Population Means (Standard Deviations Known)
  • CNS 8747-1983 Interval Estimation of the Population Mean(Standard Deviation Known)
  • CNS 8748-1983 Interval Estimation of the Population Mean(Standard Deviation Unknown)

Standard Association of Australia (SAA), Three times the standard deviation of the mean

  • AS 2891.14.15:2018 Methods of sampling and testing asphalt, Method 14.15: Mean, standard deviation, coefficient of variation and characteristic values

IT-UNI, Three times the standard deviation of the mean

American Society for Testing and Materials (ASTM), Three times the standard deviation of the mean

  • ASTM E122-99 Standard Practice for Calculating Sample Size to Estimate, With a Specified Tolerable Error, the Average for Characteristic of a Lot or Process
  • ASTM E122-00 Standard Practice for Calculating Sample Size to Estimate, With a Specified Tolerable Error, the Average for Characteristic of a Lot or Process
  • ASTM E122-17(2017) Standard Practice for Calculating Sample Size to Estimate, With a Specified Tolerable Error, the Average for Characteristic of a Lot or Process




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