Write a function mysquares[v, m, μ, o] that constructs m samples of v sums-of-squares of the deviation from the mean (as in the workbook) with the X; drawn from the normal distribution N(μ, o). Also write histxsq[v, m, µ, σ] to plot a PDF histogram of your samples (with Automatic bspec), with the appropriate x² PDF plotted over the top. With m = 10 000, plot a few examples to see how well the x² distribution fits your samples. [Say v= 2, µ = 1, σ=2; v = 6, μ = 3, 0 = 10; v = 16, μ = 0, 0 = 1.]