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Описательная статистика×Однофакторный дисперсионный анализ×
ОбластьСтатистикаСтатистика
СемействоHypothesis testHypothesis test
Год появления19771925
Автор методаJohn W. TukeyRonald A. Fisher
ТипSummary procedureParametric mean comparison
Основополагающий источникTukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Другие названияsummary statistics, exploratory data summary, Betimsel İstatistikone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Связанные64
СводкаDescriptive 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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ScholarGateСравнение методов: Descriptive Statistics · One-way ANOVA. Получено 2026-06-18 из https://scholargate.app/ru/compare