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Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 42 / 1 / ii / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 42 / 4 / iii / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 42 / 4 / i / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 42 / 5 / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 43 / 4 / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 44 / 2 / b / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 45 / 4 / d / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 45 / 4 / f / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 45 / 4 / g / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 73 / 1 / ii / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 79 / 3 / ii / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / ia / Paper 2 / 3F / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / iii / Paper 47 / 2 / a / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / iii / Paper 48 / 3 / i / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / iii / Paper 49 / 4 / 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

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