Given data:
First we will find :

X P(x) x.p(x) x^2.p(x)
4 0.13 0.52 2.08
8 0.08 0.64 5.12
11 0.13 1.43 15.73
12 0.12 1.44 17.28
20 0.54 10.8 216
total 14.83 256.21
For x.p(x), we will multiply x and p(x).
Similarly, x^2.p(x) we will multiply x twice and p(x).
Now,
(a) mean is given as:
![\operatorname{mean}(\mu)=\Sigma x.p(x)]()
Hence, from the calculation above, we have:

(b) Variance is given by:

(c) Standard deviation is given by:
![\begin{gathered} \text{Standard deviation(}\sigma)=\sqrt[]{36.2811} \\ =6.02337 \\ \approx6.023 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/xkxs6hn0doirx3ort7sm0d6pv6bwf9gnci.png)
(d) Expectation value of X is given by:
