Find Mean and median of an unsorted array

Here given code implementation process.

// C Program 
// Find Mean and median of an unsorted array
#include <stdio.h>

//Display elements of given array
void printArray(int arr[], int size)
{
    for (int i = 0; i < size; ++i)
    {
        printf("  %d", arr[i]);
    }
}
//Swap the array element
void swap(int arr[], int first, int second)
{
    //first and second are index of array
    int temp = arr[first];
    arr[first] = arr[second];
    arr[second] = temp;
}
// Returns the pivot element
int pivotElement(int arr[], int low, int high)
{
    //Set the high index element to its proper sorted position
    int pv = arr[high];
    int i = low - 1;
    for (int j = low; j < high; ++j)
    {
        if (arr[j] < pv)
        {
            i++;
            swap(arr, i, j);
        }
    }
    //set the high index value to its sorted position
    swap(arr, i + 1, high);
    //returns the next sorting  element location
    return i + 1;
}
// 
void quickSort(int arr[], int low, int high)
{
    if (low < high)
    {
        //Get the pivot element
        int pv = pivotElement(arr, low, high);
        quickSort(arr, low, pv - 1);
        quickSort(arr, pv + 1, high);
    }
}
// Calculate mean and median of given array
void meanAndMedian(int arr[], int size)
{
    if (size <= 0)
    {
        return;
    }
    double result = 0.0;
    // Loop controlling variable
    int i = 0;
    // Execute loop through by size
    // And calculate sum of array elements
    for (i = 0; i < size; ++i)
    {
        result += arr[i];
    }
    // Calculate mean of given array
    // (Sum of element / size of array)
    result = result / size;
    // Display calculated mean of array
    printf("\n Mean : %lf", result);
    // Sort element
    quickSort(arr, 0, size - 1);
    if (size % 2 == 0)
    {
        // When have size of array are in Even length
        i = size / 2;
        // There is two middle element position
        // Sum of two middle elements
        result = arr[i] + arr[i - 1];
        // Get Average
        result /= 2;
        printf("\n Median : %lf\n", result);
    }
    else
    {
        i = size / 2;
        // When length of array are Odd size
        // Only one middle element possible
        printf("\n Median : %d\n", arr[i]);
    }
}
int main(int argc, char const *argv[])
{
    int arr1[] = {
        7 ,10, 3 , 1 , 8 , 4 , 2 , 5 
    };
    int arr2[] = {
        1 , 4 , 2 , 3 , 7
    };
    // Get the size
    int size = sizeof(arr1) / sizeof(arr1[0]);
    printf(" Array elements \n");
    printArray(arr1, size);
    meanAndMedian(arr1, size);
    // Get the size
    size = sizeof(arr2) / sizeof(arr2[0]);
    printf("\n Array elements \n");
    printArray(arr2, size);
    meanAndMedian(arr2, size);
    return 0;
}

Output

 Array elements
  7  10  3  1  8  4  2  5
 Mean : 5.000000
 Median : 4.500000

 Array elements
  1  4  2  3  7
 Mean : 3.400000
 Median : 3
/*
    Java Program
    Find Mean and median of an unsorted array
*/
public class MeanMedian
{
    //Display elements of given array
    public void printArray(int[] arr, int size)
    {
        for (int i = 0; i < size; ++i)
        {
            System.out.print("  " + arr[i] );
        }
    }
    //Swap the array element
    public void swap(int[] arr, int first, int second)
    {
        //first and second are index of array
        int temp = arr[first];
        arr[first] = arr[second];
        arr[second] = temp;
    }
    // Returns the pivot element
    public int pivotElement(int[] arr, int low, int high)
    {
        //Set the high index element to its proper sorted position
        int pv = arr[high];
        int i = low - 1;
        for (int j = low; j < high; ++j)
        {
            if (arr[j] < pv)
            {
                i++;
                swap(arr, i, j);
            }
        }
        //set the high index value to its sorted position
        swap(arr, i + 1, high);
        //returns the next sorting  element location
        return i + 1;
    }
    // 
    public void quickSort(int[] arr, int low, int high)
    {
        if (low < high)
        {
            //Get the pivot element
            int pv = pivotElement(arr, low, high);
            quickSort(arr, low, pv - 1);
            quickSort(arr, pv + 1, high);
        }
    }
    // Calculate mean and median of given array
    public void meanAndMedian(int[] arr, int size)
    {
        if (size <= 0)
        {
            return;
        }
        double result = 0.0;
        // Loop controlling variable
        int i = 0;
        // Execute loop through by size
        // And calculate sum of array elements
        for (i = 0; i < size; ++i)
        {
            result += arr[i];
        }
        // Calculate mean of given array
        // (Sum of element / size of array)
        result = result / size;
        // Display calculated mean of array
        System.out.print("\n Mean : " + result );
        // Sort element
        quickSort(arr, 0, size - 1);
        if (size % 2 == 0)
        {
            // When have size of array are in Even length
            i = size / 2;
            // There is two middle element position
            // Sum of two middle elements
            result = arr[i] + arr[i - 1];
            // Get Average
            result /= 2;
            System.out.print("\n Median : " + result + "\n");
        }
        else
        {
            i = size / 2;
            // When length of array are Odd size
            // Only one middle element possible
            System.out.print("\n Median : " + arr[i] + "\n");
        }
    }
    public static void main(String[] args)
    {
        MeanMedian task = new MeanMedian();
        int[] arr1 =  
        {
            7 ,10, 3 , 1 , 8 , 4 , 2 , 5 
        };
        int[] arr2 = 
        {
            1 , 4 , 2 , 3 , 7
        };
        // Get the size
        int size = arr1.length;
        System.out.print(" Array elements \n");
        task.printArray(arr1, size);
        task.meanAndMedian(arr1, size);
        // Get the size
        size = arr2.length;
        System.out.print("\n Array elements \n");
        task.printArray(arr2, size);
        task.meanAndMedian(arr2, size);
    }
}

Output

 Array elements
  7  10  3  1  8  4  2  5
 Mean : 5.0
 Median : 4.5

 Array elements
  1  4  2  3  7
 Mean : 3.4
 Median : 3
// Include header file
#include <iostream>
using namespace std;

/*
    C++ Program
    Find Mean and median of an unsorted array
*/

class MeanMedian
{
	public:
		//Display elements of given array
		void printArray(int arr[], int size)
		{
			for (int i = 0; i < size; ++i)
			{
				cout << "  " << arr[i];
			}
		}
	//Swap the array element
	void swap(int arr[], int first, int second)
	{
		//first and second are index of array
		int temp = arr[first];
		arr[first] = arr[second];
		arr[second] = temp;
	}
	// Returns the pivot element
	int pivotElement(int arr[], int low, int high)
	{
		//Set the high index element to its proper sorted position
		int pv = arr[high];
		int i = low - 1;
		for (int j = low; j < high; ++j)
		{
			if (arr[j] < pv)
			{
				i++;
				this->swap(arr, i, j);
			}
		}
		//set the high index value to its sorted position
		this->swap(arr, i + 1, high);
		//returns the next sorting  element location
		return i + 1;
	}
	//
	void quickSort(int arr[], int low, int high)
	{
		if (low < high)
		{
			//Get the pivot element
			int pv = this->pivotElement(arr, low, high);
			this->quickSort(arr, low, pv - 1);
			this->quickSort(arr, pv + 1, high);
		}
	}
	// Calculate mean and median of given array
	void meanAndMedian(int arr[], int size)
	{
		if (size <= 0)
		{
			return;
		}
		double result = 0.0;
		// Loop controlling variable
		int i = 0;
		// Execute loop through by size
		// And calculate sum of array elements
		for (i = 0; i < size; ++i)
		{
			result += arr[i];
		}
		// Calculate mean of given array
		// (Sum of element / size of array)
		result = result / size;
		// Display calculated mean of array
		cout << "\n Mean : " << result;
		// Sort element
		this->quickSort(arr, 0, size - 1);
		if (size % 2 == 0)
		{
			// When have size of array are in Even length
			i = size / 2;
			// There is two middle element position
			// Sum of two middle elements
			result = arr[i] + arr[i - 1];
			// Get Average
			result /= 2;
			cout << "\n Median : " << result << "\n";
		}
		else
		{
			i = size / 2;
			// When length of array are Odd size
			// Only one middle element possible
			cout << "\n Median : " << arr[i] << "\n";
		}
	}
};
int main()
{
	MeanMedian task = MeanMedian();
	int arr1[] = {
		7 , 10 , 3 , 1 , 8 , 4 , 2 , 5
	};
	int arr2[] = {
		1 , 4 , 2 , 3 , 7
	};
	// Get the size
	int size = sizeof(arr1) / sizeof(arr1[0]);
	cout << " Array elements \n";
	task.printArray(arr1, size);
	task.meanAndMedian(arr1, size);
	// Get the size
	size = sizeof(arr2) / sizeof(arr2[0]);
	cout << "\n Array elements \n";
	task.printArray(arr2, size);
	task.meanAndMedian(arr2, size);
	return 0;
}

Output

 Array elements
  7  10  3  1  8  4  2  5
 Mean : 5
 Median : 4.5

 Array elements
  1  4  2  3  7
 Mean : 3.4
 Median : 3
// Include namespace system
using System;
/*
    C# Program
    Find Mean and median of an unsorted array
*/
public class MeanMedian
{
	//Display elements of given array
	public void printArray(int[] arr, int size)
	{
		for (int i = 0; i < size; ++i)
		{
			Console.Write("  " + arr[i]);
		}
	}
	//Swap the array element
	public void swap(int[] arr, int first, int second)
	{
		//first and second are index of array
		int temp = arr[first];
		arr[first] = arr[second];
		arr[second] = temp;
	}
	// Returns the pivot element
	public int pivotElement(int[] arr, int low, int high)
	{
		//Set the high index element to its proper sorted position
		int pv = arr[high];
		int i = low - 1;
		for (int j = low; j < high; ++j)
		{
			if (arr[j] < pv)
			{
				i++;
				swap(arr, i, j);
			}
		}
		//set the high index value to its sorted position
		swap(arr, i + 1, high);
		//returns the next sorting  element location
		return i + 1;
	}
	//
	public void quickSort(int[] arr, int low, int high)
	{
		if (low < high)
		{
			//Get the pivot element
			int pv = pivotElement(arr, low, high);
			quickSort(arr, low, pv - 1);
			quickSort(arr, pv + 1, high);
		}
	}
	// Calculate mean and median of given array
	public void meanAndMedian(int[] arr, int size)
	{
		if (size <= 0)
		{
			return;
		}
		double result = 0.0;
		// Loop controlling variable
		int i = 0;
		// Execute loop through by size
		// And calculate sum of array elements
		for (i = 0; i < size; ++i)
		{
			result += arr[i];
		}
		// Calculate mean of given array
		// (Sum of element / size of array)
		result = result / size;
		// Display calculated mean of array
		Console.Write("\n Mean : " + result);
		// Sort element
		quickSort(arr, 0, size - 1);
		if (size % 2 == 0)
		{
			// When have size of array are in Even length
			i = size / 2;
			// There is two middle element position
			// Sum of two middle elements
			result = arr[i] + arr[i - 1];
			// Get Average
			result /= 2;
			Console.Write("\n Median : " + result + "\n");
		}
		else
		{
			i = size / 2;
			// When length of array are Odd size
			// Only one middle element possible
			Console.Write("\n Median : " + arr[i] + "\n");
		}
	}
	public static void Main(String[] args)
	{
		MeanMedian task = new MeanMedian();
		int[] arr1 = {
			7 , 10 , 3 , 1 , 8 , 4 , 2 , 5
		};
		int[] arr2 = {
			1 , 4 , 2 , 3 , 7
		};
		// Get the size
		int size = arr1.Length;
		Console.Write(" Array elements \n");
		task.printArray(arr1, size);
		task.meanAndMedian(arr1, size);
		// Get the size
		size = arr2.Length;
		Console.Write("\n Array elements \n");
		task.printArray(arr2, size);
		task.meanAndMedian(arr2, size);
	}
}

Output

 Array elements
  7  10  3  1  8  4  2  5
 Mean : 5
 Median : 4.5

 Array elements
  1  4  2  3  7
 Mean : 3.4
 Median : 3
<?php
/*
    Php Program
    Find Mean and median of an unsorted array
*/
class MeanMedian
{
	//Display elements of given array
	public	function printArray( & $arr, $size)
	{
		for ($i = 0; $i < $size; ++$i)
		{
			echo "  ". $arr[$i];
		}
	}
	//Swap the array element
	public	function swap( & $arr, $first, $second)
	{
		//first and second are index of array
		$temp = $arr[$first];
		$arr[$first] = $arr[$second];
		$arr[$second] = $temp;
	}
	// Returns the pivot element
	public	function pivotElement( & $arr, $low, $high)
	{
		//Set the high index element to its proper sorted position
		$pv = $arr[$high];
		$i = $low - 1;
		for ($j = $low; $j < $high; ++$j)
		{
			if ($arr[$j] < $pv)
			{
				$i++;
				$this->swap($arr, $i, $j);
			}
		}
		//set the high index value to its sorted position
		$this->swap($arr, $i + 1, $high);
		//returns the next sorting  element location
		return $i + 1;
	}
	//
	public	function quickSort( & $arr, $low, $high)
	{
		if ($low < $high)
		{
			//Get the pivot element
			$pv = $this->pivotElement($arr, $low, $high);
			$this->quickSort($arr, $low, $pv - 1);
			$this->quickSort($arr, $pv + 1, $high);
		}
	}
	// Calculate mean and median of given array
	public	function meanAndMedian( & $arr, $size)
	{
		if ($size <= 0)
		{
			return;
		}
		$result = 0.0;
		// Loop controlling variable
		$i = 0;
		// Execute loop through by size
		// And calculate sum of array elements
		for ($i = 0; $i < $size; ++$i)
		{
			$result += $arr[$i];
		}
		// Calculate mean of given array
		// (Sum of element / size of array)
		$result = ($result / $size);
		// Display calculated mean of array
		echo "\n Mean : ". $result;
		// Sort element
		$this->quickSort($arr, 0, $size - 1);
		if ($size % 2 == 0)
		{
			// When have size of array are in Even length
			$i = intval($size / 2);
			// There is two middle element position
			// Sum of two middle elements
			$result = $arr[$i] + $arr[$i - 1];
			// Get Average
			$result = ($result / 2);
			echo "\n Median : ". $result ."\n";
		}
		else
		{
			$i = intval($size / 2);
			// When length of array are Odd size
			// Only one middle element possible
			echo "\n Median : ". $arr[$i] ."\n";
		}
	}
}

function main()
{
	$task = new MeanMedian();
	$arr1 = array(7, 10, 3, 1, 8, 4, 2, 5);
	$arr2 = array(1, 4, 2, 3, 7);
	// Get the size
	$size = count($arr1);
	echo " Array elements \n";
	$task->printArray($arr1, $size);
	$task->meanAndMedian($arr1, $size);
	// Get the size
	$size = count($arr2);
	echo "\n Array elements \n";
	$task->printArray($arr2, $size);
	$task->meanAndMedian($arr2, $size);
}
main();

Output

 Array elements
  7  10  3  1  8  4  2  5
 Mean : 5
 Median : 4.5

 Array elements
  1  4  2  3  7
 Mean : 3.4
 Median : 3
/*
    Node Js Program
    Find Mean and median of an unsorted array
*/
class MeanMedian
{
	//Display elements of given array
	printArray(arr, size)
	{
		for (var i = 0; i < size; ++i)
		{
			process.stdout.write("  " + arr[i]);
		}
	}
	//Swap the array element
	swap(arr, first, second)
	{
		//first and second are index of array
		var temp = arr[first];
		arr[first] = arr[second];
		arr[second] = temp;
	}
	// Returns the pivot element
	pivotElement(arr, low, high)
	{
		//Set the high index element to its proper sorted position
		var pv = arr[high];
		var i = low - 1;
		for (var j = low; j < high; ++j)
		{
			if (arr[j] < pv)
			{
				i++;
				this.swap(arr, i, j);
			}
		}
		//set the high index value to its sorted position
		this.swap(arr, i + 1, high);
		//returns the next sorting  element location
		return i + 1;
	}
	//
	quickSort(arr, low, high)
	{
		if (low < high)
		{
			//Get the pivot element
			var pv = this.pivotElement(arr, low, high);
			this.quickSort(arr, low, pv - 1);
			this.quickSort(arr, pv + 1, high);
		}
	}
	// Calculate mean and median of given array
	meanAndMedian(arr, size)
	{
		if (size <= 0)
		{
			return;
		}
		var result = 0.0;
		// Loop controlling variable
		var i = 0;
		// Execute loop through by size
		// And calculate sum of array elements
		for (i = 0; i < size; ++i)
		{
			result += arr[i];
		}
		// Calculate mean of given array
		// (Sum of element / size of array)
		result = (result / size);
		// Display calculated mean of array
		process.stdout.write("\n Mean : " + result);
		// Sort element
		this.quickSort(arr, 0, size - 1);
		if (size % 2 == 0)
		{
			// When have size of array are in Even length
			i = parseInt(size / 2);
			// There is two middle element position
			// Sum of two middle elements
			result = arr[i] + arr[i - 1];
			// Get Average
			result = (result / 2);
			process.stdout.write("\n Median : " + result + "\n");
		}
		else
		{
			i = parseInt(size / 2);
			// When length of array are Odd size
			// Only one middle element possible
			process.stdout.write("\n Median : " + arr[i] + "\n");
		}
	}
}

function main()
{
	var task = new MeanMedian();
	var arr1 = [7, 10, 3, 1, 8, 4, 2, 5];
	var arr2 = [1, 4, 2, 3, 7];
	// Get the size
	var size = arr1.length;
	process.stdout.write(" Array elements \n");
	task.printArray(arr1, size);
	task.meanAndMedian(arr1, size);
	// Get the size
	size = arr2.length;
	process.stdout.write("\n Array elements \n");
	task.printArray(arr2, size);
	task.meanAndMedian(arr2, size);
}
main();

Output

 Array elements
  7  10  3  1  8  4  2  5
 Mean : 5
 Median : 4.5

 Array elements
  1  4  2  3  7
 Mean : 3.4
 Median : 3
#  Python 3 Program
#  Find Mean and median of an unsorted array

class MeanMedian :
	# Display elements of given array
	def printArray(self, arr, size) :
		i = 0
		while (i < size) :
			print("  ", arr[i], end = "")
			i += 1
		
	
	# Swap the array element
	def swap(self, arr, first, second) :
		# first and second are index of array
		temp = arr[first]
		arr[first] = arr[second]
		arr[second] = temp
	
	#  Returns the pivot element
	def pivotElement(self, arr, low, high) :
		# Set the high index element to its proper sorted position
		pv = arr[high]
		i = low - 1
		j = low
		while (j < high) :
			if (arr[j] < pv) :
				i += 1
				self.swap(arr, i, j)
			
			j += 1
		
		# set the high index value to its sorted position
		self.swap(arr, i + 1, high)
		# returns the next sorting  element location
		return i + 1
	
	# 
	def quickSort(self, arr, low, high) :
		if (low < high) :
			# Get the pivot element
			pv = self.pivotElement(arr, low, high)
			self.quickSort(arr, low, pv - 1)
			self.quickSort(arr, pv + 1, high)
		
	
	#  Calculate mean and median of given array
	def meanAndMedian(self, arr, size) :
		if (size <= 0) :
			return
		
		result = 0.0
		#  Loop controlling variable
		i = 0
		#  Execute loop through by size
		#  And calculate sum of array elements
		while (i < size) :
			result += arr[i]
			i += 1
		
		#  Calculate mean of given array
		#  (Sum of element / size of array)
		result = (result / size)
		#  Display calculated mean of array
		print("\n Mean : ", result, end = "")
		#  Sort element
		self.quickSort(arr, 0, size - 1)
		if (size % 2 == 0) :
			#  When have size of array are in Even length
			i = int(size / 2)
			#  There is two middle element position
			#  Sum of two middle elements
			result = arr[i] + arr[i - 1]
			#  Get Average
			result = (result / 2)
			print("\n Median : ", result )
		else :
			i = int(size / 2)
			#  When length of array are Odd size
			#  Only one middle element possible
			print("\n Median : ", arr[i] )
		
	

def main() :
	task = MeanMedian()
	arr1 = [7, 10, 3, 1, 8, 4, 2, 5]
	arr2 = [1, 4, 2, 3, 7]
	#  Get the size
	size = len(arr1)
	print(" Array elements ")
	task.printArray(arr1, size)
	task.meanAndMedian(arr1, size)
	#  Get the size
	size = len(arr2)
	print("\n Array elements ")
	task.printArray(arr2, size)
	task.meanAndMedian(arr2, size)

if __name__ == "__main__": main()

Output

 Array elements
   7   10   3   1   8   4   2   5
 Mean :  5.0
 Median :  4.5

 Array elements
   1   4   2   3   7
 Mean :  3.4
 Median :  3
#  Ruby Program
#  Find Mean and median of an unsorted array

class MeanMedian 
	# Display elements of given array
	def printArray(arr, size) 
		i = 0
		while (i < size) 
			print("  ", arr[i])
			i += 1
		end

	end

	# Swap the array element
	def swap(arr, first, second) 
		# first and second are index of array
		temp = arr[first]
		arr[first] = arr[second]
		arr[second] = temp
	end

	#  Returns the pivot element
	def pivotElement(arr, low, high) 
		# Set the high index element to its proper sorted position
		pv = arr[high]
		i = low - 1
		j = low
		while (j < high) 
			if (arr[j] < pv) 
				i += 1
				self.swap(arr, i, j)
			end

			j += 1
		end

		# set the high index value to its sorted position
		self.swap(arr, i + 1, high)
		# returns the next sorting  element location
		return i + 1
	end

	# 
	def quickSort(arr, low, high) 
		if (low < high) 
			# Get the pivot element
			pv = self.pivotElement(arr, low, high)
			self.quickSort(arr, low, pv - 1)
			self.quickSort(arr, pv + 1, high)
		end

	end

	#  Calculate mean and median of given array
	def meanAndMedian(arr, size) 
		if (size <= 0) 
			return
		end

		result = 0.0
		#  Loop controlling variable
		i = 0
		#  Execute loop through by size
		#  And calculate sum of array elements
		while (i < size) 
			result += arr[i]
			i += 1
		end

		#  Calculate mean of given array
		#  (Sum of element / size of array)
		result = result / size
		#  Display calculated mean of array
		print("\n Mean : ", result)
		#  Sort element
		self.quickSort(arr, 0, size - 1)
		if (size % 2 == 0) 
			#  When have size of array are in Even length
			i = size / 2
			#  There is two middle element position
			#  Sum of two middle elements
			result = arr[i] + arr[i - 1]
			#  Get Average
			result = result / 2.0
			print("\n Median : ", result ,"\n")
		else 
			i = size / 2
			#  When length of array are Odd size
			#  Only one middle element possible
			print("\n Median : ", arr[i] ,"\n")
		end

	end

end

def main() 
	task = MeanMedian.new()
	arr1 = [7, 10, 3, 1, 8, 4, 2, 5]
	arr2 = [1, 4, 2, 3, 7]
	#  Get the size
	size = arr1.length
	print(" Array elements \n")
	task.printArray(arr1, size)
	task.meanAndMedian(arr1, size)
	#  Get the size
	size = arr2.length
	print("\n Array elements \n")
	task.printArray(arr2, size)
	task.meanAndMedian(arr2, size)
end

main()

Output

 Array elements 
  7  10  3  1  8  4  2  5
 Mean : 5.0
 Median : 4.5

 Array elements 
  1  4  2  3  7
 Mean : 3.4
 Median : 3
/*
    Scala Program
    Find Mean and median of an unsorted array
*/
class MeanMedian
{
	//Display elements of given array
	def printArray(arr: Array[Int], size: Int): Unit = {
		var i: Int = 0;
		while (i < size)
		{
			print("  " + arr(i));
			i += 1;
		}
	}
	//Swap the array element
	def swap(arr: Array[Int], first: Int, second: Int): Unit = {
		//first and second are index of array
		var temp: Int = arr(first);
		arr(first) = arr(second);
		arr(second) = temp;
	}
	// Returns the pivot element
	def pivotElement(arr: Array[Int], low: Int, high: Int): Int = {
		//Set the high index element to its proper sorted position
		var pv: Int = arr(high);
		var i: Int = low - 1;
		var j: Int = low;
		while (j < high)
		{
			if (arr(j) < pv)
			{
				i += 1;
				this.swap(arr, i, j);
			}
			j += 1;
		}
		//set the high index value to its sorted position
		this.swap(arr, i + 1, high);
		//returns the next sorting  element location
		return i + 1;
	}
	//
	def quickSort(arr: Array[Int], low: Int, high: Int): Unit = {
		if (low < high)
		{
			//Get the pivot element
			var pv: Int = this.pivotElement(arr, low, high);
			this.quickSort(arr, low, pv - 1);
			this.quickSort(arr, pv + 1, high);
		}
	}
	// Calculate mean and median of given array
	def meanAndMedian(arr: Array[Int], size: Int): Unit = {
		if (size <= 0)
		{
			return;
		}
		var result: Double = 0.0;
		// Loop controlling variable
		var i: Int = 0;
		// Execute loop through by size
		// And calculate sum of array elements
		while (i < size)
		{
			result += arr(i);
			i += 1;
		}
		// Calculate mean of given array
		// (Sum of element / size of array)
		result = (result / size);
		// Display calculated mean of array
		print("\n Mean : " + result);
		// Sort element
		this.quickSort(arr, 0, size - 1);
		if (size % 2 == 0)
		{
			// When have size of array are in Even length
			i = (size / 2).toInt;
			// There is two middle element position
			// Sum of two middle elements
			result = arr(i) + arr(i - 1);
			// Get Average
			result = (result / 2.0);
			print("\n Median : " + result + "\n");
		}
		else
		{
			i = (size / 2).toInt;
			// When length of array are Odd size
			// Only one middle element possible
			print("\n Median : " + arr(i) + "\n");
		}
	}
}
object Main
{
	def main(args: Array[String]): Unit = {
		var task: MeanMedian = new MeanMedian();
		var arr1: Array[Int] = Array(7, 10, 3, 1, 8, 4, 2, 5);
		var arr2: Array[Int] = Array(1, 4, 2, 3, 7);
		// Get the size
		var size: Int = arr1.length;
		print(" Array elements \n");
		task.printArray(arr1, size);
		task.meanAndMedian(arr1, size);
		// Get the size
		size = arr2.length;
		print("\n Array elements \n");
		task.printArray(arr2, size);
		task.meanAndMedian(arr2, size);
	}
}

Output

 Array elements
  7  10  3  1  8  4  2  5
 Mean : 5.0
 Median : 4.5

 Array elements
  1  4  2  3  7
 Mean : 3.4
 Median : 3
/*
    Swift 4 Program
    Find Mean and median of an unsorted array
*/
class MeanMedian
{
	//Display elements of given array
	func printArray(_ arr: [Int], _ size: Int)
	{
		var i: Int = 0;
		while (i < size)
		{
			print("  ", arr[i], terminator: "");
			i += 1;
		}
	}
	//Swap the array element
	func swap(_ arr: inout[Int], _ first: Int, _ second: Int)
	{
		//first and second are index of array
		let temp: Int = arr[first];
		arr[first] = arr[second];
		arr[second] = temp;
	}
	// Returns the pivot element
	func pivotElement(_ arr: inout[Int], _ low: Int, _ high: Int)->Int
	{
		//Set the high index element to its proper sorted position
		let pv: Int = arr[high];
		var i: Int = low - 1;
		var j: Int = low;
		while (j < high)
		{
			if (arr[j] < pv)
			{
				i += 1;
				self.swap(&arr, i, j);
			}
			j += 1;
		}
		//set the high index value to its sorted position
		self.swap(&arr, i + 1, high);
		//returns the next sorting  element location
		return i + 1;
	}
	//
	func quickSort(_ arr: inout[Int], _ low: Int, _ high: Int)
	{
		if (low < high)
		{
			//Get the pivot element
			let pv: Int = self.pivotElement(&arr, low, high);
			self.quickSort(&arr, low, pv - 1);
			self.quickSort(&arr, pv + 1, high);
		}
	}
	// Calculate mean and median of given array
	func meanAndMedian(_ arr: inout[Int], _ size: Int)
	{
		if (size <= 0)
		{
			return;
		}
		var result: Double = 0.0;
		// Loop controlling variable
		var i: Int = 0;
		// Execute loop through by size
		// And calculate sum of array elements
		while (i < size)
		{
			result += Double(arr[i]);
			i += 1;
		}
		// Calculate mean of given array
		// (Sum of element / size of array)
		result = result / Double(size);
		// Display calculated mean of array
		print("\n Mean : ", result, terminator: "");
		// Sort element
		self.quickSort(&arr, 0, size - 1);
		if (size % 2 == 0)
		{
			// When have size of array are in Even length
			i = size / 2;
			// There is two middle element position
			// Sum of two middle elements
			result = Double(arr[i] + arr[i - 1]);
			// Get Average
			result = result / 2.0;
			print("\n Median : ", result );
		}
		else
		{
			i = size / 2;
			// When length of array are Odd size
			// Only one middle element possible
			print("\n Median : ", arr[i] );
		}
	}
}
func main()
{
	let task: MeanMedian = MeanMedian();
	var arr1: [Int] = [7, 10, 3, 1, 8, 4, 2, 5];
	var arr2: [Int] = [1, 4, 2, 3, 7];
	// Get the size
	var size: Int = arr1.count;
	print(" Array elements ");
	task.printArray(arr1, size);
	task.meanAndMedian(&arr1, size);
	// Get the size
	size = arr2.count;
	print("\n Array elements ");
	task.printArray(arr2, size);
	task.meanAndMedian(&arr2, size);
}
main();

Output

 Array elements
   7   10   3   1   8   4   2   5
 Mean :  5.0
 Median :  4.5

 Array elements
   1   4   2   3   7
 Mean :  3.4
 Median :  3
/*
    Kotlin Program
    Find Mean and median of an unsorted array
*/
class MeanMedian
{
	//Display elements of given array
	fun printArray(arr: Array <Int> , size: Int): Unit
	{
		var i: Int = 0;
		while (i < size)
		{
			print("  " + arr[i]);
			i += 1;
		}
	}
	//Swap the array element
	fun swap(arr: Array <Int> , first: Int, second: Int): Unit
	{
		//first and second are index of array
		var temp: Int = arr[first];
		arr[first] = arr[second];
		arr[second] = temp;
	}
	// Returns the pivot element
	fun pivotElement(arr: Array <Int> , low: Int, high: Int): Int
	{
		//Set the high index element to its proper sorted position
		var pv: Int = arr[high];
		var i: Int = low - 1;
		var j: Int = low;
		while (j < high)
		{
			if (arr[j] < pv)
			{
				i += 1;
				this.swap(arr, i, j);
			}
			j += 1;
		}
		//set the high index value to its sorted position
		this.swap(arr, i + 1, high);
		
		//returns the next sorting  element location
		return i + 1;
	}
	//
	fun quickSort(arr: Array <Int> , low: Int, high: Int): Unit
	{
		if (low < high)
		{
			//Get the pivot element
			var pv: Int = this.pivotElement(arr, low, high);
			this.quickSort(arr, low, pv - 1);
			this.quickSort(arr, pv + 1, high);
		}
	}
	// Calculate mean and median of given array
	fun meanAndMedian(arr: Array <Int> , size: Int): Unit
	{
		if (size <= 0)
		{
			return;
		}
		var result: Double = 0.0;
		// Loop controlling variable
		var i: Int = 0;
		// Execute loop through by size
		// And calculate sum of array elements
		while (i < size)
		{
			result += arr[i];
			i += 1;
		}
		// Calculate mean of given array
		// (Sum of element / size of array)
		result = result / size;
		// Display calculated mean of array
		print("\n Mean : " + result);
		// Sort element
		this.quickSort(arr, 0, size - 1);
		if (size % 2 == 0)
		{
			// When have size of array are in Even length
			i = size / 2;
			// There is two middle element position
			// Sum of two middle elements
			result = (arr[i] + arr[i - 1]).toDouble();
			// Get Average
			result = result / 2.0;
			print("\n Median : " + result + "\n");
		}
		else
		{
			i = size / 2;
			// When length of array are Odd size
			// Only one middle element possible
			print("\n Median : " + arr[i] + "\n");
		}
	}
}

fun main(args: Array < String > ): Unit
{
	var task: MeanMedian = MeanMedian();
	var arr1: Array <Int> = arrayOf(7, 10, 3, 1, 8, 4, 2, 5);
	var arr2: Array <Int> = arrayOf(1, 4, 2, 3, 7);
	// Get the size
	var size: Int = arr1.count();
	print(" Array elements \n");
	task.printArray(arr1, size);
	task.meanAndMedian(arr1, size);
	// Get the size
	size = arr2.count();
	print("\n Array elements \n");
	task.printArray(arr2, size);
	task.meanAndMedian(arr2, size);
}

Output

 Array elements
  7  10  3  1  8  4  2  5
 Mean : 5.0
 Median : 4.5

 Array elements
  1  4  2  3  7
 Mean : 3.4
 Median : 3


Please share your knowledge to improve code and content standard. Also submit your doubts, and test case. We improve by your feedback. We will try to resolve your query as soon as possible.

New Comment







© 2021, kalkicode.com, All rights reserved