第十三周项目2 输入班级的人数及成绩三种方法（1和2）

<span style="font-size:18px;"><strong><em>第一种方法</em></strong></span>

<span style="font-size:18px;"><strong><em>/*
*copyright (c) 2014.烟大计算机学院
*All rights reserved.
*文件名称：
*作者：王争取
*完成日期：2014.11.24
*版 本 号：v1.0
*问题描述:成绩处理
*输入：输入班级的人数及成绩
*输出：输出该班级的最高成绩，最低成绩，平均成绩，
最高最低成绩的人数及学号，该班成绩的标准差
*/
#include <iostream>using namespace std;int main()
{int max(int x[],int n);int min(int x[],int n);int aver(int x[],int n);int num_max(int x[],int n,int m1);int num_min(int x[],int n,int m2);int n_max(int x[],int n,int m1);int n_min(int x[],int n,int m2);int m1,m2,n,score;cout<<"输入要统计的人数n"<<endl;cin>>n;int x[n],i;for(i=0; i<n; ){cout<<"输入第"<<i<<"位同学的成绩：";cin>>score;if(score<0||score>100) cout<<"请输入成绩在0-100的成绩"<<endl;else{x[i]=score;i++}}m1=max(x,n);m2=min(x,n);cout<<"最高成绩为：" <<m1<<"最低成绩为："<<m2<<endl;cout<<"平均成绩为："<<aver(x,n)<<endl;cout<<"取得最高成绩"<<m1<<"分的共"<<num_max(x,n,m1)<<"人"<<"他们的学号是：";n_max(x,n,m1);cout<<"取得最高成绩"<<m2<<"分的共"<<num_min(x,n,m2)<<"人" << "他们的学号是：";n_min(x,n,m2);return 0;
}
int max(int x[],int n)
{int m,i;for(i=0; i<n-1; i++)m=x[i]>x[i+1]?x[i]:x[i+1];return m;
}
int min(int x[],int n)
{int m,i;for(i=0; i<n-1; i++)m=x[i]<x[i+1]?x[i]:x[i+1];return m;
}
int aver(int x[],int n)
{int m,sum,i;for(i=0; i<n; i++)sum+=x[i];m=sum/n;return m;}
int num_max(int x[],int n,int m1)
{int sum=0,i;for(i=0; i<n; i++)if(x[i]==m1)sum++;return sum;
}
int num_min(int x[],int n,int m2)
{int sum=0;for(int i=0; i<n; i++)if(x[i]==m2)sum++;return sum;
}
int n_max(int x[],int n,int m1)
{int i;for(i=0; i<n; i++){if(x[i]==m1)cout<<i<<" ";}
}
int n_min(int x[],int n,int m2)
{int i;for(i=0; i<n; i++)if(x[i]==m2)cout<<i<<" ";
}</em></strong></span>

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" alt="" /></em></strong></span>

<span style="font-size:18px;"><strong><em>第二种排版（直接从上而下在main函数中编写）</em></strong></span>

<pre class="cpp" name="code">
#include <iostream>#include <cmath>using namespace std;int main()
{int n,score,n1=0,n2=0,sum=0;cout<<"输入要统计的人数n:";cin>>n;int x[n],i,aver,max=-1,min=100;for(i=1; i<n+1; 1 ){cout<<"输入第"<<i<<"位同学的成绩：";cin>>score;if(score<0||score>100) cout<<"请输入成绩在0-100的成绩";else{x[i]=score;i++;}}for(i=1; i<n+1; i++)if(x[i]>max)max=x[i];for(i=1; i<n+1; i++)if(min>x[i])min=x[i];for(i=1; i<n+1; i++)sum+=x[i];aver=sum/n;for(i=1; i<n+1; i++)if(x[i]==max)n1++;for(int i=1; i<n+1; i++)if(x[i]==min)n2++;int s1=0,s;for(i=1; i<n+1; i++)s1+=(x[i]-aver)*(x[i]-aver);s=sqrt(s1/(n-1));cout<<"最高成绩为：" <<max<<"   最低成绩为："<<min<<endl;cout<<"平均成绩为："<<aver<<endl;cout<<"取得最高成绩"<<max<<"分的共"<<n1<<"人";cout<<"他们的学号是：";for(i=1; i<n+1; i++)if(x[i]==max)cout<<i<<" ";cout<<"取得最低成绩"<<min<<"分的共"<<n2<<"人" ;cout<< "他们的学号是：";for(i=1; i<n; i++)if(x[i]==min)cout<<i<<" ";cout<<"标准偏差是："<<s<<endl;return 0;
}

<img 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" 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第十三周项目2 输入班级的人数及成绩三种方法（1和2）

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第十三周 项目2 输入班级的人数及成绩三种方法（1和2）

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第十三周项目2 输入班级的人数及成绩三种方法（1和2）

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