signifikanta

Signifikanta is a term used in several languages to denote elements that meet a criterion of significance, typically in statistics, measurement, or related disciplines. In statistics, signifikanta results are findings for which the observed effect is unlikely under a specified null hypothesis, usually assessed with a p-value or confidence interval. The most common threshold is an alpha level such as 0.05, but other levels (0.01, 0.10) are used depending on the discipline and study design. When a result is signifikanta, researchers conclude there is statistically significant evidence against the null hypothesis; however, statistical significance does not by itself imply practical importance, and the size of the effect matters for interpretation.

In measurement, signifikanta can refer to significant figures, the digits that contribute to the precision of a reported value. In languages such as Swedish, phrases like signifikanta siffror are used to describe these digits. In this context, the term is about numerical precision rather than hypothesis testing, and it helps specify the level of detail reported for a measurement.

Usage and reporting guidelines commonly include the test statistic, degrees of freedom, p-value, and confidence interval when presenting signifikanta results. Researchers may also discuss effect sizes and, where appropriate, corrections for multiple testing to control the overall error rate. The concept of signifikanta thus spans both inferential significance in data analysis and precision in measurement, depending on the linguistic and disciplinary context. See also significance level, p-value, hypothesis testing, confidence interval, effect size, and significant figures.