We will have the following:
Sample:
19, 10, 6, 8, 8.
Variance:
[tex]s^2=\frac{\sum ^n_{i=1}(x_i-X)^2}{n-1}[/tex][tex]\Rightarrow s^2=\frac{101.2}{4}\Rightarrow s^2=25.3[/tex]
So, the variance is 25.3.
Standard deviation:
[tex]\sigma^2=\sqrt[]{\frac{1}{n-1}\sum ^n_{i=1}(x_i-X)^2}[/tex]
So:
[tex]\sigma^2=\sqrt[]{25.3}\Rightarrow\sigma^2=5.029910536\Rightarrow\sigma\approx5[/tex]
