'''ParametricMetoda inferentialkaputusan statisticalstatistik methodsparametrik''' arengarupakeun mathematicalprosedur proceduresmatematik forkeur [[statistical hypothesis testing|tes hipotesa statistik]] whichnu assumenganggap thatyen thesebaran distributionsvariabel of thebakal variablesbisa beingditaksir assessedku havekarakter certainnu characteristicsditempo. [[Analysisanalysis of variance|Analisa varian]] assumesnganggap thatyen thedina underlyingkaayaan distributions aresebaran [[Normalsebaran distributionnormal|normallynormal]] distributed and that thesarta [[Variance|variancesvarian]] oftina thesebaran distributionsnu beingdibandingkeun compareddianggap are similarsarua. The [[Pearson product-moment correlation coefficient|Koefisien korelasi momen-produk Pearson]] assumesdianggap normalitynormal.
WhileKadangkala parametrictenknik techniquesparametrik arengarupakeun hal robust – that is, they often retain considerable [[statistical power|power]] to detect differences or similarities even when these assumptions are violated – some distributions violate the assumptions so markedly that a [[Non-parametric statistics|non-parametric]] alternative is more likely to detect a difference or similarity.
