1 0 1 1 + 1 = 2 1 + 0 = 1 2 2 + 1 = 3 2 + 0 = 2 3 3 + 1 = 4 3 + 0 = 3 4 4 + 1 = 5 4 + 0 = 4 5 5 + 1 = 6 5 + 0 = 5 6 6 + 1 = 7 6 + 0 = 6 \def\arraystretch{1.5}
\begin{array}{c:c:c}
& 1 & 0 \\ \hline
1 & 1+1=2 & 1+0=1 \\
\hdashline
2 & 2+1=3 & 2+0=2 \\
\hdashline
3 & 3+1=4 & 3+0=3 \\
\hdashline
4 & 4+1=5 & 4+0=4 \\
\hdashline
5 & 5+1=6 & 5+0=5 \\
\hdashline
6 & 6+1=7 & 6+0=6 \\
\end{array} 1 2 3 4 5 6 1 1 + 1 = 2 2 + 1 = 3 3 + 1 = 4 4 + 1 = 5 5 + 1 = 6 6 + 1 = 7 0 1 + 0 = 1 2 + 0 = 2 3 + 0 = 3 4 + 0 = 4 5 + 0 = 5 6 + 0 = 6 E ( X ) = m e a n = 1 12 ( 1 ) + 2 12 ( 2 ) + 2 12 ( 3 ) E(X)=mean=\dfrac{1}{12}(1)+\dfrac{2}{12}(2)+\dfrac{2}{12}(3) E ( X ) = m e an = 12 1 ( 1 ) + 12 2 ( 2 ) + 12 2 ( 3 ) + 2 12 ( 4 ) + 2 12 ( 5 ) + 2 12 ( 6 ) + 1 12 ( 7 ) = 4 +\dfrac{2}{12}(4)+\dfrac{2}{12}(5)+\dfrac{2}{12}(6)+\dfrac{1}{12}(7)=4 + 12 2 ( 4 ) + 12 2 ( 5 ) + 12 2 ( 6 ) + 12 1 ( 7 ) = 4
The average value of the random variable is 4.
E ( X 2 ) = Σ x 2 . P ( x ) = 1 2 × 1 12 + 2 2 × 2 12 + 3 2 × 2 12 + 4 2 × 2 12 + 5 2 × 2 12 + 6 2 × 2 12 + 7 2 × 1 12 = 115 6 E(X^2)=\Sigma x^2.P(x)
\\=1^2\times\dfrac1{12}+2^2\times\dfrac2{12}+3^2\times\dfrac2{12}+4^2\times\dfrac2{12}+5^2\times\dfrac2{12}+6^2\times\dfrac2{12}+7^2\times\dfrac1{12}
\\=\dfrac{115}6 E ( X 2 ) = Σ x 2 . P ( x ) = 1 2 × 12 1 + 2 2 × 12 2 + 3 2 × 12 2 + 4 2 × 12 2 + 5 2 × 12 2 + 6 2 × 12 2 + 7 2 × 12 1 = 6 115
Now, V a r ( X ) = E ( X 2 ) − [ E ( X ) ] 2 = 115 6 − 4 2 = 19 6 Var(X)=E(X^2)-[E(X)]^2=\dfrac{115}6-4^2=\dfrac{19}6 Va r ( X ) = E ( X 2 ) − [ E ( X ) ] 2 = 6 115 − 4 2 = 6 19
S . D ( X ) = V a r ( X ) = 19 6 = 1.78 S.D(X)=\sqrt{Var(X)}=\sqrt{\dfrac{19}6}=1.78 S . D ( X ) = Va r ( X ) = 6 19 = 1.78