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حوزهآمارآمار
خانوادهHypothesis testHypothesis test
سال پیدایش19771908
پدیدآورJohn W. TukeyStudent (W. S. Gosset)
نوعSummary procedureParametric mean comparison
منبع بنیادینTukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗
نام‌های دیگرsummary statistics, exploratory data summary, Betimsel İstatistikstudent t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
مرتبط64
خلاصهDescriptive 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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ScholarGateمقایسهٔ روش‌ها: Descriptive Statistics · Independent t-test. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare