How to implement the function of variance by using sml? The variance of a list o

Question

How to implement the function of variance by using sml?

The variance of a list of reals [x_1, .....x_n]can be the average of the squares minus the square of the average. One formula for computing variance is var(x) = sigma^n_i=1 x^2_i/n - (sigma^n_i=1 Use function square, built-in functions length and map and function sum in (e) to implement an ML function variance to return the variance of the input list. Function square is defined as fun square(x:real) = x*x; val square = fn: real rightarrow real

Explanation / Answer

fun square(x:real)=x*x;

val square=fn:real->real

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