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| Wnioskowanie bayesowskie× | Niezależny test t dla prób niezależnych× | |
|---|---|---|
| Dziedzina | Statystyka | Statystyka |
| Rodzina≠ | Bayesian methods | Hypothesis test |
| Rok powstania≠ | 1763 | 1908 |
| Twórca≠ | Thomas Bayes; Pierre-Simon Laplace | Student (W. S. Gosset) |
| Typ≠ | Probabilistic inference paradigm | Parametric mean comparison |
| Źródło pierwotne≠ | Bayes, T. (1763). An essay towards solving a problem in the doctrine of chances. Philosophical Transactions of the Royal Society of London, 53, 370–418. link ↗ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ |
| Inne nazwy≠ | Bayes inference, Bayesian statistics, Bayesian updating, posterior inference | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi |
| Pokrewne≠ | 3 | 4 |
| Podsumowanie≠ | Bayesian inference is a statistical paradigm in which probability represents degrees of belief rather than long-run frequencies. It encodes prior knowledge about parameters in a prior distribution, combines that prior with the likelihood of observed data via Bayes' theorem, and produces a posterior distribution that quantifies updated uncertainty. The foundational theorem was published posthumously by Thomas Bayes in 1763 and subsequently systematized by Pierre-Simon Laplace in his 1812 Théorie analytique des probabilités. | 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. |
| ScholarGateZbiór danych ↗ |
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