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| 기술통계학× | 독립 표본 t-검정× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열 | Hypothesis test | Hypothesis test |
| 기원 연도≠ | 1977 | 1908 |
| 창시자≠ | John W. Tukey | Student (W. S. Gosset) |
| 유형≠ | Summary procedure | Parametric mean comparison |
| 원전≠ | Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165 | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ |
| 별칭≠ | summary statistics, exploratory data summary, Betimsel İstatistik | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi |
| 관련≠ | 6 | 4 |
| 요약≠ | 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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