Bandingkan metode
Tinjau metode pilihan Anda berdampingan; baris yang berbeda akan disorot.
| Uji-t Sampel Independen× | Analisis Varians Satu Arah× | |
|---|---|---|
| Bidang | Statistika | Statistika |
| Keluarga | Hypothesis test | Hypothesis test |
| Tahun asal≠ | 1908 | 1925 |
| Pencetus≠ | Student (W. S. Gosset) | Ronald A. Fisher |
| Tipe | Parametric mean comparison | Parametric mean comparison |
| Sumber perintis≠ | Student (W. S. Gosset) (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| Alias | two-sample t-test, unpaired t-test, Student t-test, independent groups t-test | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| Terkait | 4 | 4 |
| Ringkasan≠ | The independent samples t-test is a parametric hypothesis test that determines whether the means of two independent, unrelated groups differ significantly on a continuous outcome variable. Derived from Gosset's 1908 t-distribution, it is one of the most widely used inferential tests in social, behavioral, biomedical, and experimental sciences. | 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. |
| ScholarGateSet data ↗ |
|
|