template < typename TYPE > TYPE STD_DEVIATION ( const TYPE *Array, const int Length ) {

		//Declare & Initialize the mean to the average of the sample
		TYPE Mean = MEAN < TYPE > ( Array, Length );

		//Declare an array containing ( X - M ) data
		TYPE *X_M = new TYPE [ Length ];

		//Declare an array containing ( X - M ) 2 data
		TYPE *X_M_SQRT = new TYPE [ Length ];

		//Declare a variable to store the sum of ( X - m ) 2 & Initialize to zero
		TYPE X_M_SQRT_SUM = 0;

		//For each value within a sample, calculate & store the mean & deviation by...
		for ( int intLoop = 0; intLoop < Length; intLoop++ ) {

			//...subtracting the mean from the current sample value & store it in the ( X - M ) array...
			X_M [ intLoop ] = ( Array [ intLoop ] - Mean );

			//...and squaring the result of the previous calculation & store it in the ( X - M ) 2 array...
			X_M_SQRT [ intLoop ] = ( sqrt ( X_M [ intLoop ] ) );

		};

		//Calculate the sum of ( X - M ) 2
		for ( int intLoop = 0; intLoop < Length; intLoop++ ) { X_M_SQRT_SUM += X_M_SQRT [ intLoop ]; };

		//Purge the ( X - M ) & ( X - M ) 2 arrays from memory
		delete X_M, X_M_SQRT;
		X_M, X_M_SQRT = 0;

		//Return the standard deviation
		return ( sqrt ( X_M_SQRT_SUM ) / sqrt ( Length - 1 ) );

	};

delete X_M;X_M_SQRT;    // Does nothingX_M;         // Does nothingX_M_SQRT = 0;

delete[] X_M, delete[] X_M_SQRT;X_M = 0, X_M_SQRT = 0;