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記述統計×独立標本t検定×
分野統計学統計学
系統Hypothesis testHypothesis test
提唱年19771908
提唱者John W. TukeyStudent (W. S. Gosset)
種類Summary procedureParametric mean comparison
原典Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗
別名summary statistics, exploratory data summary, Betimsel İstatistikstudent t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
関連64
概要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.The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances.
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ScholarGate手法を比較: Descriptive Statistics · Independent t-test. 2026-06-18に以下より取得 https://scholargate.app/ja/compare