TS ISO 2602

TS ISO 2602 is a statistical standard concerned with estimating the mean of a population and determining the confidence interval associated with test results. In practice, a single average value is often not enough to describe experimental data; this standard addresses the statistical treatment needed to interpret that mean with its uncertainty.

Reading the mean together with its confidence interval

In general technical terms, a sample mean is used as an estimate of the population mean, while a confidence interval expresses the range around that estimate that is considered plausible. This allows test results to be assessed as more than a single figure, taking sampling variability into account. The concept is widely used in laboratories, quality control, and the comparison of experimental data.

What this standard focuses on statistically

• Statistical treatment of test results
• Calculation of a confidence interval for the population mean
• Interpretation of measurement results together with uncertainty

By providing a common statistical framework, the standard supports more consistent interpretation across applications. Where experimental data are based on a limited number of observations, considering the mean together with its confidence interval helps users read the results in a more meaningful way.