Let Y follows a Poisson distribution with mean lambda that i

Let Y follows a Poisson distribution with mean lambda: that is, Y approx equal Poisson(lambda). Show that E(Y) = lambda. Hint: you may use one of the following two methods Method 1: use exponential series e^x = 1 + x + x^2/2! + x^3/3! + .,.. Method 2: Use the 2nd property of a valid pmf that summation y p(y) = 1

Solution

P(x; ?) = (e-?) (?x) / x!

xP(x) = x (e-?) (?x) / x! =  (e-?) (?x) / (x-1)!= (e-?) (?) (?x-1) / (x-1)!

Mean = sum of all xP(X)

= (e-?) (?) e??

= ?

Thus mean of Poisson distribution is its parameter.

Or E(Y) = Lemda

 Let Y follows a Poisson distribution with mean lambda: that is, Y approx equal Poisson(lambda). Show that E(Y) = lambda. Hint: you may use one of the following

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