数据指标波动假设检验统计

eda/recommended_indexs/hypothesis_test.py

@@ -210,7 +210,7 @@ def chi_cal(data):
     t21_theory = temp2[0] * rate2
     t22_theory = temp2[1] * rate2
     #计算卡方值
-    X=((t11_count-t11_theory)**2)/t11_theory+((t12_count-t12_theory)**2)/t12_theory+((t21_count-t21_theory)**2)/t21_theory+((t22_count-t22_theory)**2)/t22_theory
+    X=(((t11_count-t11_theory)**2)/t11_theory)+(((t12_count-t12_theory)**2)/t12_theory)+(((t21_count-t21_theory)**2)/t21_theory)+(((t22_count-t22_theory)**2)/t22_theory)
     print("卡方值为：{}".format(X))
     #计算自由度
     v=(len(data)-1)*(data.columns.size-1)