Using the formula p(x) and the resulting value q form a table of probability distribution
"E(x^2)=\\sum p(x_i)x_i^2\n\\\\E(x^2)=0.1*1+0.2*4+0.3*9+0.4*16=10;"
"\\sigma^2=E(x^2)-E(x)^2;\n\\\\\\sigma^2=10-9=1;"
"\\sigma=\\sqrt{E(x^2)-E(x)^2};\n\\\\\\sigma=\\sqrt{10-9}=1;"
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