TS 2629

TS 2629 is a standard concerned with the statistical interpretation of test results, specifically the estimation of a confidence interval for the mean. Its focus is on how measured results are treated statistically so that a sample average can be interpreted with an explicit measure of uncertainty, rather than as a single isolated number. In technical work, this is essential for making test data more meaningful and comparable.

Mean estimation and confidence intervals

In general statistical practice, the mean represents the central value of a data set, while a confidence interval expresses how uncertain that estimate is because it comes from a sample. When only a limited number of test results are available, the true population mean is not known directly. Statistical interpretation therefore combines the sample mean with an interval and a confidence level, giving a more informative view of the result.

Technical context of the standard

According to the supplied scope, this standard covers the application of statistical methods to test results for estimating the confidence interval of the mean. The document is therefore about the interpretive framework for results, not merely the reporting of measurements. In practice, such standards support laboratory and experimental work by helping users summarize data consistently and assess results with greater statistical discipline.

• Supports inference from sample results rather than relying on single values.
• Focuses on expressing the uncertainty of the mean estimate through a confidence interval.
• Provides a common statistical framework for interpreting experimental results.
• Helps with more cautious evaluation of results from small or limited data sets.