第十三週專案三成績處理模板

阿新 • • 發佈：2019-02-07

<span style="font-size:14px;">多檔案組織的應用對複雜的程式設計很方便</span>

<span style="font-size:14px;">/*
*copyright (c) 2014.煙大計算機學院
*All rights reserved.
*檔名稱：
*作者：王爭取
*完成日期：2014.11.
*版 本 號：v1.0
*問題描述：成績處理
*輸入描述：輸入班級內人數和成績
*程式輸出：最大值和最小值及取得最大值和最小值的人數和學號
平均成績，標準差
*/
#include <iostream>
using namespace std;
voidinput_score(int s[],int n);
intget_max_score(int s[], int n);
intget_min_score(int s[],int n);
doubleget_ave_score(int s[],int n);
doubleget_stdv_score(int score[],int n);
int count(intx,int s[],int n);
voidoutput_index(intx,int s[],int n);
int main()
{
int n;
intmax_score,min_score;
cout<<"請輸入該小組人數n:";
cin>>n;
int score[n];
cout<<endl<<"請輸入學生成績:"<<endl;
input_score(score,n);
max_score=get_max_score(score,n);
min_score=get_min_score(score,n);
cout<<endl<<"最高成績為："<<max_score<<"，共有："<<count(max_score,score,n)<<"人"<<endl;
cout<<endl<<"最低成績為："<<get_min_score(score,n);
cout<<"，共有"<<count(min_score,score,n)<<"人"<<endl;
cout<<"平均成績為："<<get_ave_score(score,n)<<endl;
cout<<"標準差為："<<get_stdv_score(score,n)<<endl;
cout<<"獲得最高成績的學生編號有：";
output_index(max_score,score,n);
cout<<"獲得最低成績的學生編號有：";
output_index(min_score,score,n);
return 0;
}
<span style="color:#3366ff;">input_score.cpp</span>
#include <iostream>
using namespace std;
intinput_score(int s[],int n)
{
inti,score;
for(i=1; i<n+1;1)
    {

cout<<"輸入第"<<i<<"位同學的成績：";
cin>>score;
        if(score<0||score>100) cout<<"請輸入成績在0-100的成績"<<endl;
else
        {
s[i]=score;
i++;
        }
    }
}
</span><span style="font-size:18px;color:#3366ff;"><strong>get_max_score.cpp</strong></span><span style="font-size:14px;">
#include <iostream>
using namespace std;
intget_max_score(int s[], int n)
{
int max=-1,i;
for(i=1; i<n+1; i++)
if(s[i]>max)max=s[i];
return max;
}
<strong style="background-color: rgb(255, 255, 255);"><span style="color:#3366ff;">get_min_score.cpp</span></strong>
#include <iostream>
using namespace std;
intget_min_score(int s[],int n)
{
int min=100,i;
for(i=1; i<n+1; i++)
if(min>s[i])min=s[i];
return min;
}
<span style="color:#3366ff;">get_ave_score.cpp</span>
#include <iostream>
using namespace std;
doubleget_ave_score(int s[],int n)
{inti,sum=0,aver;
for(i=1; i<n+1; i++)
sum+=s[i];
aver=sum/n;
return aver;
}
<span style="color:#3366ff;">count.cpp</span>
#include <iostream>
using namespace std;
int count(intx,int s[],int n)
{
int i,n1=0;
for(i=1; i<n+1; i++)
    {
if(s[i]==x)
n1++;
    }
return n1;
}
<span style="color:#3366ff;">get_stdv_score.cpp</span>
#include <cmath>
#include <iostream>
using namespace std;
doubleget_stdv_score(int s[],int n)
{
int s1=0,m,i,sum=0,aver;
for(i=1; i<n+1; i++)
sum+=s[i];
aver=sum/n;
for(i=1; i<n+1; i++)
s1+=(s[i]-aver)*(s[i]-aver);
    m=sqrt(s1/(n-1));
return m;
}
<span style="color:#3366ff;">output_index.cpp</span>
#include <iostream>
using namespace std;
voidoutput_index(intx,int s[],int n)
{inti;
for(i=1; i<n+1; i++)
if(s[i]==x)
cout<<i<<" ";
}
</span>

<span style="font-size:14px;"><img src="data:image/png;base64,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" alt="" />
</span>

<span style="font-size:14px;"><img src="https://img-blog.csdn.net/20141125101729091?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvd2FuZ3poZW5ncXU=/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/Center" alt="" />
</span>

總結：多實踐，多撞錯，在錯誤中也許成長更快