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Statistiques descriptives×Test t pour échantillons indépendants×
DomaineStatistiqueStatistique
FamilleHypothesis testHypothesis test
Année d'origine19771908
Auteur d'origineJohn W. TukeyStudent (W. S. Gosset)
TypeSummary procedureParametric mean comparison
Source fondatriceTukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗
Aliassummary statistics, exploratory data summary, Betimsel İstatistikstudent t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
Apparentées64
RésuméDescriptive statistics is a set of procedures that numerically and visually summarises the essential characteristics of a dataset: central tendency (mean, median, mode), spread (standard deviation, interquartile range), shape (skewness, kurtosis), and frequency distributions. Systematised for applied data analysis by John W. Tukey in his 1977 work on Exploratory Data Analysis, descriptive statistics serves as the indispensable first step before any inferential or modelling procedure.The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances.
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ScholarGateComparer des méthodes: Descriptive Statistics · Independent t-test. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare