(Another way to compute the mean X ~ Geom(p)) Since ka= Sigma k, j=1, a for any quantity a, we can start the computation of the mean of X ~ Geom(p) as follows: (formula shown in picture below). Now switch the order of summation. This means that you take the j-summation outside and put the k-summation inside. But be careful with the limits of the sums. After this you get to the answer by elevating two geometric series. Geom(p)) SinceExercise 3.51. (Another way to compute the mean of Xka = E-, a for any quantity a, we can start the computation of the mean ofX ~ Geom(p) as follows:%3Do kE(X) = k(1 – p)k-'p = >(1 - p)k=1p.%3Dk=1k=1 j=1Now switch the order of summation. This means that you take the j-summationoutside and put the k-summation inside. But be careful with the limits of thesums. After this you get to the answer by evaluating two geometric series.

Given information: Given that the random variable X follows geometric distribution with parameter p.

Answered: Another way to compute the mean X ~…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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(Another way to compute the mean X ~ Geom(p)) Since ka= Sigma k, j=1, a for any quantity a, we can start the computation of the mean of X ~ Geom(p) as follows: (formula shown in picture below).

Now switch the order of summation. This means that you take the j-summation outside and put the k-summation inside. But be careful with the limits of the sums. After this you get to the answer by elevating two geometric series.

Geom(p)) Since
Exercise 3.51. (Another way to compute the mean of X
ka = E-, a for any quantity a, we can start the computation of the mean of
X ~ Geom(p) as follows:
%3D
o k
E(X) = k(1 – p)k-'p = >(1 - p)k=1p.
%3D
k=1
k=1 j=1
Now switch the order of summation. This means that you take the j-summation
outside and put the k-summation inside. But be careful with the limits of the
sums. After this you get to the answer by evaluating two geometric series.

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