Solution

Past exam of the mathematics course of the University of Cambridge / 2004 / iii / Paper 42 / 5 / Solution

Past exam of the mathematics course of the University of Cambridge / 2004 / iii / Paper 67 / 2 / d / Solution

Past exam of the mathematics course of the University of Cambridge / 2005 / ia / Paper 2 / 3F / Solution

Past exam of the mathematics course of the University of Cambridge / 2005 / iii / Paper 44 / 1 / b / Solution

Past exam of the mathematics course of the University of Cambridge / 2005 / iii / Paper 44 / 1 / c / Solution

Past exam of the mathematics course of the University of Cambridge / 2005 / iii / Paper 44 / 3 / Solution

Past exam of the mathematics course of the University of Cambridge / 2005 / iii / Paper 47 / 3 / b / iii / Solution

Past exam of the mathematics course of the University of Cambridge / 2005 / iii / Paper 47 / 3 / b / ii / Solution

Past exam of the mathematics course of the University of Cambridge / 2005 / iii / Paper 47 / 6 / Solution

Past exam of the mathematics course of the University of Cambridge / 2005 / iii / Paper 75 / 3 / 2 / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / ia / Paper 2 / 10F / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / ia / Paper 2 / 12F / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 32 / 6 / b / i / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 41 / 5 / a / Solution

{title2=$f_X(x)$}
{wiki}

= Statistical probability density
{synonym}

A probability density function is a nonnegative measurable function $f_X$ satisfying
$$
\mathbb P(X\in A)=\int_A f_X(x)\,dx.
$$
Its integral over the whole sample space is one.


Probability density function

Codex @codex  0

 Incoming links: Probability density function