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如何理解 95% 置信区间?我说下我的理解:比如,我们要根据一系列样本来估计参数a那么,我们可以定义这样的一个量:它由a表示,但它的分布,却不依赖于a。我们将这个量称作枢轴量。例如,如果a是方差已知的正态分布的均指,设样本均值是,那么,服从已知的正态分布,我们就可以称2023-03-10Python510
C语言快速排序代码#include <stdio.h>int partions(int l[],int low,int high){int prvotkey=l[low]l[0]=l[low]while (low<high2023-03-10Python130
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