The expected value is
[tex]E[X]=\displaystyle\sum_xx\,P(X=x)=\frac1{11}\sum_{x=0}^{10}x=\dfrac{0+1+\cdots+9+10}{11}=\dfrac{55}{11}=\boxed{5}[/tex]
The standard deviation is the square root of the variance, which is
[tex]V[X]=E[(X-E[X])^2]=E[X^2]-E[X]^2[/tex]
where
[tex]E[X^2]=\displaystyle\sum_xx^2\,P(X=x)=\frac1{11}\sum_{x=0}^{10}x^2=\dfrac{0^2+1^2+\cdots+9^2+10^2}{11}=\dfrac{385}{11}=35[/tex]
so that
[tex]V[X]=35-5^2=10[/tex]
making the standard deviation
[tex]\sqrt{V[X]}=\sqrt{10}\approx\boxed{3.16}[/tex]