Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Gráficos de Controle por Atributos (p, np, c, u)× | Teste z para Duas Proporções× | |
|---|---|---|
| Área | Estatística | Estatística |
| Família≠ | Process / pipeline | Hypothesis test |
| Ano de origem≠ | 1931 | 1900 |
| Autor original≠ | Walter A. Shewhart | Karl Pearson / classical large-sample z approximation |
| Tipo≠ | Statistical process control charts for count/proportion data | Parametric proportion comparison |
| Fonte seminal≠ | Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. D. Van Nostrand Company. ISBN: 978-0-87389-076-2 | Fleiss, J. L., Levin, B., & Paik, M. C. (2003). Statistical Methods for Rates and Proportions (3rd ed.). Wiley. DOI ↗ |
| Outros nomes≠ | p-chart, np-chart, c-chart, u-chart | z-test for proportions, two-sample proportion test, one-proportion z-test, Oran Testi — z Testi (Oranlar) |
| Relacionados | 4 | 4 |
| Resumo≠ | Attributes control charts extend Shewhart's framework to count and proportion data — quality characteristics that are classified rather than measured. The p- and np-charts monitor the proportion or number of defective items using the binomial distribution, while the c- and u-charts monitor the number of defects per unit using the Poisson distribution. They are the standard statistical-process-control tools when inspection yields pass/fail or defect counts rather than continuous measurements. | 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. |
| ScholarGateConjunto de dados ↗ |
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