TS 13216 PDF | Request Standard

TS 13216

Standard Practice for Calculating Sample Size to Estimate, With a Specified Tolerable Error, the Average for Characteristic of a Lot or Process

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.

Standard by TSE, 30.11.2006

Available Formats:

  • Availability: Immediate Download
  • Language: English
  • License Type: Single User
  • Updates: Not Included
  • Availability: Request Quote
  • Language: English
  • License Type: Enterprise / Multi User
  • Updates: Included

About This Item

Legal Notices*

TS 13216 addresses a standard practice for calculating the sample size needed to estimate the average of a quality characteristic for a lot or a process within a specified tolerable error. In practical terms, it is a statistical planning tool for deciding how large a random sample should be when the goal is to estimate a population mean from only part of the material or output.

Sample size and estimation precision

The central idea is to determine how many units must be included in a random sample so that the estimated mean is precise enough for the intended use. The core concepts are sample size, random sampling, and estimation accuracy. In manufacturing and inspection settings, this helps balance measurement effort against the level of confidence and precision sought. It is especially relevant when dealing with lots of material or units produced by a process, where checking every item is impractical.

Where the practice fits in statistics and quality work

  • The document is about estimating an average quality measure; it is not a product-specific test method for individual defect types.
  • Its scope applies broadly to lots of material and to outputs generated by a process.
  • It provides simple calculation methods for sampling planning rather than detailed apparatus, acceptance limits, or product rules.
  • The TSE record is withdrawn, but the subject remains useful for understanding statistical sample planning.
SKU: a2091e4e72c6

  • Publication Date: 30.11.2006
  • Standard Status: H (İptal Edilmiş Standard/Withdrawn standard)
  • Publisher: TSE
  • Document Language: tr
  • ICS Classification: 03.120.30 İstatistiksel Metotların Uygulanması
  • Pages: 14
  • Source Standard: ASTM E 122:2000
  • International Equivalents: ASTM E 122--; ANSI/ASTM E 122 -EQV

Online Standart App

Need This Standard?

Need This Standard?

Summarize with AI

ChatGPT Perplexity Google AI Claude Grok

Online Standart Disclaimer

OnlineStandart.com is an authorized reseller of international standards, operating through partnerships with authorized distributors. We do not own the copyrights or trademarks of the standards we sell, including but not limited to those of API, ASHRAE, BSI, SAE, ASTM, IEEE, IEC, ASME, ISO, and others.

All product names, logos, and brands are the property of their respective owners and are used for identification purposes only; their use does not imply endorsement. OnlineStandart.com is not affiliated with or endorsed by any standards development organization unless explicitly stated. The content of this document is for informational purposes only and is intended to promote our licensed reselling services.

Online Standart does not host, distribute, or link to free, unlicensed, or uncertified copies of copyrighted standards. Every document we deliver is a licensed copy obtained through authorized channels and supplied with full licensing documentation. The “Free PDF Download” option on our product pages refers to this free informational document — never to a free copy of any standard.