Does JMP calculate the "cumulative density function" of CDF?

[#1]

I'm searching for this code for the documentation, but I don't know what it means.

Get expert help.Thanks!

Names Default To Here( 1 );
/* Generate random values, Normal(0,1) */
Y = J( 150, 1, Random Normal() );

/* CDF function */
{Quant, CumProb} = CDF( Y ); Wait(0);

/* Draw empirical and theorical CDF */
New Window( "Empirical CDF",
	Graph Box(
		X Scale( -3, 3 ),
		Y Scale( 0, 1 ),
		Pen Color( "red" );
		For( i = 2, i <= N Row( Quant ), i++,
			H Line( Quant[i - 1], Quant[i], CumProb[i] );
			V Line( Quant[i - 1], CumProb[i - 1], CumProb[i] );
		);
		i = N Row( Quant );
		V Line( Quant[i], CumProb[i], 1 );
		Pen Color( "blue" );
		Y Function( Normal Distribution( q ), q );
	)
);

[#2]

I don't know whether "cumulative distribution function" and "cumulative density function" are the same.

[#3]

There is no cumulative density function. It is probably meant to have the meaning of cumulative distribution function.
Here is the topic help on the CDF() function:
https://www.jmp.com/support/help/en/15.0/#page/jmp/matrix-functions.shtml?os=win&source=application#...