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Estatística Descritiva×Análise de Variância Unifatorial×
ÁreaEstatísticaEstatística
FamíliaHypothesis testHypothesis test
Ano de origem19771925
Autor originalJohn W. TukeyRonald A. Fisher
TipoSummary procedureParametric mean comparison
Fonte seminalTukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Outros nomessummary statistics, exploratory data summary, Betimsel İstatistikone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Relacionados64
ResumoDescriptive 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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ScholarGateComparar métodos: Descriptive Statistics · One-way ANOVA. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare