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Hypothesis test

皮尔逊卡方独立性检验

卡方独立性检验是一种非参数假设检验,用于确定两个分类变量之间是否存在统计关联或相互独立。该检验由卡尔·皮尔逊于1900年提出,至今仍是分析列联表的标准程序,它不要求数据服从正态分布,只要求观测值相互独立且期望单元格频数足够大。

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Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables. Philosophical Magazine, Series 5, 50(302), 157–175. link

如何引用本页

ScholarGate. (2026, June 1). Chi-square goodness-of-fit test. ScholarGate. https://scholargate.app/zh/statistics/chi-square

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

被引用于

ScholarGateChi-square goodness-of-fit test (Chi-square goodness-of-fit test). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/chi-square · 数据集: https://doi.org/10.5281/zenodo.20539026