C ++变系数程序
给定一个大小为n的浮点值数组，任务是找到变化系数并显示结果。
变异系数是多少？
在统计量度中，变异系数用于通过给定的数据找到变异范围。在财务方面，使用变异系数来找到相对于投资额所涉及的风险量。如果标准差和均值之比较低，则投资涉及的风险也较低。变异系数是标准偏差和平均值之间的比率，由下式给出：
变异系数=标准偏差/平均值
示例
Input-: array[] = { 10.0, 21, 23, 90.0, 10.5, 32.56, 24, 45, 70.0 }
Output-: coefficient of variation is : 0.75772
Input-: array[] = { 15.0, 36.0, 53.67, 25.45, 67.8, 56, 78.09}
Output-: coefficient of variation is : 0.48177给定程序中使用的方法如下-
输入包含浮点值的数组
计算给定数组上的均值和标准差的值
通过将标准偏差的值除以平均值来计算变异系数的值
将结果显示为变异系数
算法
Start
Step 1-> declare function to calculate the value of mean
float cal_mean(float arr[], int size)
Declare float sum = 0
Loop For i = 0 and i < size and i++
Set sum = sum + arr[i]
End
return sum / size
Step 2-> declare function to calculate the value of standard deviation
float StandardDeviation(float arr[], int size)
Declare float sum = 0
Loop For i = 0 and i < size and i++
Set sum = sum + (arr[i] - cal_mean(arr, size)) * (arr[i] -
End
Call cal_mean(arr, size))
return sqrt(sum / (size - 1))
Step 3-> Declare function to calculate coefficient of variation
float CoefficientOfVariation(float arr[], int size)
return StandardDeviation(arr, size) / cal_mean(arr, size)
Step 4-> In main() Declare an array of float arr[] = { 10.0, 21, 23, 90.0, 10.5, 32.56, 24, 45, 70.0}
Calculate the size of array as int size = sizeof(arr) / sizeof(arr[0])
Call function as CoefficientOfVariation(arr, size)
Stop示例
#include <bits/stdc++.h>
using namespace std;
//函数计算平均值。
float cal_mean(float arr[], int size) {
float sum = 0;
for (int i = 0; i < size; i++)
sum = sum + arr[i];
return sum / size;
}
//计算标准偏差的功能
float StandardDeviation(float arr[], int size) {
float sum = 0;
for (int i = 0; i < size; i++)
sum = sum + (arr[i] - cal_mean(arr, size)) * (arr[i] - cal_mean(arr, size));
return sqrt(sum / (size - 1));
}
//函数来计算变异系数。
float CoefficientOfVariation(float arr[], int size) {
return StandardDeviation(arr, size) / cal_mean(arr, size);
}
int main() {
float arr[] = { 10.0, 21, 23, 90.0, 10.5, 32.56, 24, 45, 70.0};
int size = sizeof(arr) / sizeof(arr[0]);
cout<<"coefficient of variation is : "<<CoefficientOfVariation(arr, size);
return 0;
}输出结果
coefficient of variation is : 0.75772