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Exercise
May 09'23
Answer
Solution: C
For the Poisson distribution the variance is equal to the mean and hence the second moment is the mean plus the square of the mean. Then,
[[math]]
\operatorname{E}[ X ] =0.1(1) + 0.5(2) + 0.4(10) =5.1
[[/math]]
[[math]]
\operatorname{E}[ X^2 ] = 0.1(1 + 12 ) + 0.5(2 + 22 ) + 0.4(10 + 102 )= 47.2
[[/math]]
[[math]]
\operatorname{Var}( X ) = 47.2 − 5.12 = 21.19.
[[/math]]