Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Teste de Normalidade de Shapiro-Wilk× | Teste t para amostras independentes× | |
|---|---|---|
| Área | Estatística | Estatística |
| Família | Hypothesis test | Hypothesis test |
| Ano de origem≠ | 1965 | 1908 |
| Autor original≠ | S. S. Shapiro & M. B. Wilk | Student (W. S. Gosset) |
| Tipo≠ | Normality (goodness-of-fit) test | Parametric mean comparison |
| Fonte seminal≠ | Shapiro, S. S. & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3-4), 591–611. DOI ↗ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ |
| Outros nomes≠ | Shapiro-Wilk W test, W test for normality, Shapiro-Wilk normallik testi | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi |
| Relacionados≠ | 2 | 4 |
| Resumo≠ | The Shapiro-Wilk test is a hypothesis test that checks whether a continuous variable was drawn from a normal distribution. It was introduced by Samuel Shapiro and Martin Wilk in 1965 and is regarded as one of the most powerful normality tests, recommended for sample sizes below 5000. | 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. |
| ScholarGateConjunto de dados ↗ |
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