The normal distribution is perhaps the most important in statistics, cropping up in all sorts of places, and in this post I hope to explain

*why*.Full text...

The normal distribution is perhaps the most important in statistics, cropping up in all sorts of places, and in this post I hope to explain *why*.

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In the last post I introduced the uniform distribution and some of the functions associated with it. I specifically advised you to ignore the *this* post.

So here we go...

`ak.uniformCF`

function in UniformDistribution.js, deferring an explanation to So here we go...

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As programmers, we typically use random numbers to add novelty to games, such as shuffling a deck of cards in a game of solitaire. Most languages provide a pseudo-random number generator for this purpose; JavaScript has

`Math.random`

which returns a value greater than or equal to zero and strictly less than one. These create a sequence of values according to some formula that, whilst not actually random, are sufficiently muddled up so as to be good enough for most purposes.
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