The following table shows the provided outputs of the discrete random variables, along with the corresponding probabilities:
Therefore, the population mean is calculated as follows:
"\\mu =\\sum_{i=1}^{n} x_{i}*P(x_i)"
=0*0.006+1*0.035+2*0.109+3*0.222+4*0.277+5*0.213+6*0.107+7*.026+8*0.005
=3.956
Standard deviation:
We first compute the expected value of "X^2" .
"E(X^2)=\\sum_{i=1}^{n} x_{i}^2*P(x_i^2)"
="0 \n2\n *0.006+1 \n2\n *0.035+2 \n2\n *0.109+3 \n2\n *0.222+4 \n2\n *0.277+5 \n2\n *0.213+6 \n2\n *0.107+7 \n2\n *.026+8 \n2\n *0.005=\n17.672\n\u200b"
Therefore, the population variance is computed as follows:
"\u03c3 ^\n2\n \n\u200b\t\n \n=\n\n\u200b\t\n \nE(X \n^2\n )\u2212E(X) ^\n2"
= "17.672\u22123.956 ^\n2" = 2.0221
And finally, taking square root to the variance we get that the population standard deviation is "\\sigma = \\sqrt{ \\sigma^2} = \\sqrt{2.0221} = 1.422"
Comments
Leave a comment