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 / ii / Paper 3 / 5I / b / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / ib / Paper 1 / 7C / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / ib / Paper 3 / 16B / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / ib / Paper 4 / 19C / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 32 / 4 / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 40 / 3 / 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 46 / 1 / a / Solution

Past exam of the mathematics course of the University of Cambridge / 2006 / ii / Paper 4 / 5I / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / ia / Paper 2 / 4F / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / ib / Paper 4 / 19C / i / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / iii / Paper 33 / 4 / a / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / iii / Paper 35 / 5 / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / iii / Paper 43 / 2 / Solution

{title2=$N(\mu,\sigma^2)$}
{wiki}

= Gaussian
{c}
{synonym}

= Normal
{synonym}

= Gaussian distribution
{c}
{synonym}

= Normally distributed
{synonym}

The normal distribution has density proportional to $\exp(-(x-\mu)^2/(2\sigma^2))$.


Normal distribution

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 Incoming links: Normal distribution