我正在try 计算一个简单的数据表的卡方结果
我有两个小组，我们叫他们PG和KG.PG在第1类中有19个值，在第2类中有11个值.公斤在10类中有0值，在2类中有30值.
该python代码将为
from scipy.stats import chi2_contingency
observed = [[0, 30], [19, 11]]
chi2, p, dof, expected = chi2_contingency(observed)
print("Chi Square value:", chi2)
这将产生24.95英镑.但当使用Stata或在线计算器https://mathcracker.com/de/chi-quadrat-test-unabhangigkeit时，我得到的是27.80.我不明白区别从何而来.
有一个参数correction=，在默认模式下设置为True:
correction bool, optional
If True, and the degrees of freedom is 1, apply Yates’ correction for
continuity. The effect of the correction is to adjust each observed
value by 0.5 towards the corresponding expected value.
from scipy.stats import chi2_contingency
observed = [[0, 30], [19, 11]]
chi2, p, dof, expected = chi2_contingency(observed, correction=False)
print("Chi Square value:", chi2)
打印:
Chi Square value: 27.804878048780488