Respuesta :

The variance of a probability distribution is given as:

[tex]\sigma^2=E(x^2)-\lbrack E(x)\rbrack^2[/tex]

Where,

[tex]E(x^2)=\sum ^{\text{ }}_ix^2_iP(x_i)\text{ and }E(x)=\sum ^{\text{ }}_ix^{}_iP(x_i)[/tex]

From the table, the expressions are:

[tex]E(x^2)=7^2(0.1)+8^2(0.2)+9^2(0.3)+10^2(0.2)+11^2(0.2)=86.2[/tex]

For E(x), it follows:

[tex]E(x)=7(0.1)+8(0.2)+9(0.3)+10(0.2)+11(0.2)=9.2[/tex]

Substitute these values into the formula for variance:

[tex]\sigma^2=86.2-9.2^2=86.2-84.64=1.56\approx1.6[/tex]

The variance is approximately 1.6

ACCESS MORE
EDU ACCESS
Universidad de Mexico