标签：匹配 ati res other 种类 match science www 有关
卡方检验有两种类型。两者使用卡方统计量和分布的目的不同。
第一种：卡方拟合优度检验确定样本数据是否与总体匹配。(这里不介绍)
第二种：独立性的卡方检验比较列联表中的两个变量，看看它们是否相关。在更一般的意义上，它测试分类变量的分布是否不同。
一个非常小的x平方分布测试统计量意味着您观察到的数据非常适合您的预期数据。换句话说，之间有关系。
非常大的x平方分布测试统计量意味着数据不太适合。换句话说，之间没有关系。
There are two types of chi-square tests. Both use the chi-square statistic and distribution for different purposes:
A chi-square goodness of fit test determines if a sample data matches a population. For more details on this type, see: Goodness of Fit Test. A chi-square test for independence compares two variables in a contingency table to see if they are related. In a more general sense, it tests to see whether distributions of categorical variables differ from each another. A very small chi square test statistic means that your observed data fits your expected data extremely well. In other words, there is a relationship. A very large chi square test statistic means that the data does not fit very well. In other words, there isn’t a relationship.
https://www.statisticshowto.datasciencecentral.com/probability-and-statistics/chi-square/
Chi-Square Statistic/Distribution
标签：匹配 ati res other 种类 match science www 有关
原文地址：https://www.cnblogs.com/djx571/p/10205020.html
