Given the probability distribution,
x 2 4 5 9
p(x) 9/20 1/20 1/5 3/10
The expected value is
E ( x ) = ∑ x p ( x ) = ( 2 × 9 20 ) + ( 4 × 1 20 ) + ( 5 × 1 5 ) + ( 9 × 3 10 ) = 4.8 E(x)=\sum xp(x)=(2\times{9\over20})+(4\times{1\over20})+(5\times{1\over5})+(9\times{3\over10})=4.8 E ( x ) = ∑ x p ( x ) = ( 2 × 20 9 ) + ( 4 × 20 1 ) + ( 5 × 5 1 ) + ( 9 × 10 3 ) = 4.8
The variance is given as,
v a r ( x ) = ∑ ( x 2 ) − ( ∑ ( x ) ) 2 var(x)=\sum (x^2)-(\sum(x))^2 v a r ( x ) = ∑ ( x 2 ) − ( ∑ ( x ) ) 2
We need to find E ( x 2 ) = ∑ x 2 p ( x ) = ) = ( 4 × 9 20 ) + ( 16 × 1 20 ) + ( 25 × 1 5 ) + ( 81 × 3 10 ) = 31.9 E(x^2)=\sum x^2p(x)=)=(4\times{9\over20})+(16\times{1\over20})+(25\times{1\over5})+(81\times{3\over10})=31.9 E ( x 2 ) = ∑ x 2 p ( x ) = ) = ( 4 × 20 9 ) + ( 16 × 20 1 ) + ( 25 × 5 1 ) + ( 81 × 10 3 ) = 31.9
Now,
v a r ( x ) = 31.9 − ( 4.8 ) 2 = 31.9 − 23.04 = 8.86 var(x)=31.9-(4.8)^2=31.9-23.04=8.86 v a r ( x ) = 31.9 − ( 4.8 ) 2 = 31.9 − 23.04 = 8.86
The standard deviation is,
ss d ( x ) = v a r ( x ) = 8.86 = 2.9766 sd(x)=\sqrt{var(x)}=\sqrt{8.86}=2.9766 s d ( x ) = v a r ( x ) = 8.86 = 2.9766
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