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描述性统计×单因素方差分析×
领域统计学统计学
方法族Hypothesis testHypothesis test
起源年份19771925
提出者John W. TukeyRonald A. Fisher
类型Summary procedureParametric mean comparison
开创性文献Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
别名summary statistics, exploratory data summary, Betimsel İstatistikone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
相关64
摘要Descriptive 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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ScholarGate方法对比: Descriptive Statistics · One-way ANOVA. 于 2026-06-18 检索自 https://scholargate.app/zh/compare