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Popisná statistika×Jednofaktorová analýza rozptylu×
OborStatistikaStatistika
RodinaHypothesis testHypothesis test
Rok vzniku19771925
TvůrceJohn W. TukeyRonald A. Fisher
TypSummary procedureParametric mean comparison
Původní zdrojTukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Další názvysummary statistics, exploratory data summary, Betimsel İstatistikone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Příbuzné64
ShrnutíDescriptive 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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ScholarGatePorovnat metody: Descriptive Statistics · One-way ANOVA. Získáno 2026-06-17 z https://scholargate.app/cs/compare