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Statystyka opisowa×Jednoczynnikowa analiza wariancji×
DziedzinaStatystykaStatystyka
RodzinaHypothesis testHypothesis test
Rok powstania19771925
TwórcaJohn W. TukeyRonald A. Fisher
TypSummary procedureParametric mean comparison
Źródło pierwotneTukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Inne nazwysummary statistics, exploratory data summary, Betimsel İstatistikone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Pokrewne64
PodsumowanieDescriptive 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.One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.
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ScholarGatePorównaj metody: Descriptive Statistics · One-way ANOVA. Pobrano 2026-06-17 z https://scholargate.app/pl/compare