Given the data:
6
8
K
2
4
K
10
3K
The mean of the above data is 9.375 where K is a constant. Find
a) The value of K.
b) The coefficient of skewness and interpret.
"E(X)=( 6+8+K+2+4+K+10+3K)\/8=(30+5K)\/8"
"K=(8E(X)-30)\/5=(8\\cdot 9.375-30)\/5=9"
"E(X^2)=(6^2+8^2+9^2+2^2+4^2+9^2+10^2+27^2)\/8=138.875"
"Var(X)=E(X^2)-E(X)^2=138.875-9.375^2=50.98"
"\\sigma(X)=\\sqrt{Var(X)}=\\sqrt{50.98}=7.14"
Now we calculate Z-scores of each value of the random variable X:
"\\tilde X=(X-E(X))\/\\sigma(X)"
"(6-9.375)\/7.14=-0.4727"
"(8-9.375)\/7.14=-0.1926"
"(9-9.375)\/7.14=-0.0525"
"(2-9.375)\/7.14=-1.0329"
"(4-9.375)\/7.14=-0.7528"
"(9-9.375)\/7.14=-0.0525"
"(10-9.375)\/7.14=0.0875"
"(27-9.375)\/7.14=2.4684"
The coefficient of skewness is by definition
"E(\\tilde X^3)=(-0.4727^3-0.1926^3-0.0525^3-1.0329^3-0.7528^3-0.0525^3+0.0875^3+2.4684^3)\/8=13.4"
One can see that "E(\\tilde X^3)>>0", this means that some values of X (X=27) are located far to the right of the average value. The value "X=27" one should consider as extremal (unusual) big.
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