방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 일원 분산 분석× | 독립 표본 t-검정× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열 | Hypothesis test | Hypothesis test |
| 기원 연도≠ | 1925 | 1908 |
| 창시자≠ | Ronald A. Fisher | Student (W. S. Gosset) |
| 유형 | Parametric mean comparison | Parametric mean comparison |
| 원전≠ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ |
| 별칭 | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi |
| 관련 | 4 | 4 |
| 요약≠ | 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. | 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. |
| ScholarGate데이터셋 ↗ |
|
|