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Estadística Descriptiva×Prueba t para muestras independientes×
CampoEstadísticaEstadística
FamiliaHypothesis testHypothesis test
Año de origen19771908
Autor originalJohn W. TukeyStudent (W. S. Gosset)
TipoSummary procedureParametric mean comparison
Fuente seminalTukey, 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
Relacionados64
ResumenDescriptive 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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ScholarGateComparar métodos: Descriptive Statistics · Independent t-test. Recuperado el 2026-06-18 de https://scholargate.app/es/compare