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| Двупропорционален z-тест× | t-тест за независими извадки× | |
|---|---|---|
| Област | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Година на възникване≠ | 1900 | 1908 |
| Създател≠ | Karl Pearson / classical large-sample z approximation | Student (W. S. Gosset) |
| Тип≠ | Parametric proportion comparison | Parametric mean comparison |
| Основополагащ източник≠ | Fleiss, J. L., Levin, B., & Paik, M. C. (2003). Statistical Methods for Rates and Proportions (3rd ed.). Wiley. DOI ↗ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ |
| Други названия | z-test for proportions, two-sample proportion test, one-proportion z-test, Oran Testi — z Testi (Oranlar) | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi |
| Свързани | 4 | 4 |
| Резюме≠ | The proportion test (z-test for proportions) is a parametric hypothesis test that compares one or two sample proportions against a reference value or each other. Grounded in the large-sample normal approximation formalized by Fleiss, Levin, and Paik (2003), it is the standard tool for binary outcome comparisons when samples are large enough for the central limit theorem to apply. | 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. |
| ScholarGateНабор от данни ↗ |
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