6.52 Let Y and Y2 be independent Poisson random variables with means 2, and A2, respectively. Find the a probability function of Y, + Y2. b conditional probability function of Y1, given that Y, + Y2 = m.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 19E
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I need help with problem 6.52 in the photo.
pter 6
Functions of Random Variables
the north-south distance between the landing point and the target center and let Y2 denote the
corresponding east-west distance. (Assume that north and east define positive directions ) The
distance between the landing point and the target center is then U =
are independent, standard normal random variables, find the probability density function for U
VY} + Y}. If Y, and Y;
Let Y be a binomial random variable with n¡ trials and probability of success given by p. Let
Y, be another binomial random variable with n2 trials and probability of success also given
by p. If Y, and Y2 are independent, find the probability function of Y1 + Y2.
6.49
Let Y be a binomial random variable with n trials and probability of success given by p. Show
that n- Y is a binomial random variable with n trials and probability of success given by 1 – p.
6.50
6.51
Let Y be a binomial random variable with n, trials and p = .2 and Y, be an independent bino-
mial random variable with n2 trials and p2 = .8. Find the probability function of Y¡ +n2 – Yp.
6.52
Let Y and Y2 be independent Poisson random variables with means 21 and 22, respectively.
Find the
a probability function of Y, + Y2.
b conditional probability function of Y1, given that Y, + Y2 = m.
6.53
of
Let Y1, Y2, . .. , Y, be independent binomial random variable with
success given by pi, i = 1, 2, . . , n.
trials and probability
If all of the n; 's are equal and all of the p's are equal, find the distribution of >i=1.
b If all of the n;'s are different and all of the p's are equal, find the distribution of Li=l*
c If all of the n¡'s are different and all of the p's are egual, find the conditional distribution
Yi given E=1 Y; = m.
d If all of the n¡'s are different and all of the p's are equal, find the conditional distribution
Y,+ Y2 given =1 Yi = m.
e If all of the p's are different, does the method of moment-generating functions work wer
to find the distribution of - Y;? Why?
a
i=1
6.54
Let Y, Y2, ... , Y, be independent Poisson random variables with means
respectively. Find the
a probability function of "
Transcribed Image Text:pter 6 Functions of Random Variables the north-south distance between the landing point and the target center and let Y2 denote the corresponding east-west distance. (Assume that north and east define positive directions ) The distance between the landing point and the target center is then U = are independent, standard normal random variables, find the probability density function for U VY} + Y}. If Y, and Y; Let Y be a binomial random variable with n¡ trials and probability of success given by p. Let Y, be another binomial random variable with n2 trials and probability of success also given by p. If Y, and Y2 are independent, find the probability function of Y1 + Y2. 6.49 Let Y be a binomial random variable with n trials and probability of success given by p. Show that n- Y is a binomial random variable with n trials and probability of success given by 1 – p. 6.50 6.51 Let Y be a binomial random variable with n, trials and p = .2 and Y, be an independent bino- mial random variable with n2 trials and p2 = .8. Find the probability function of Y¡ +n2 – Yp. 6.52 Let Y and Y2 be independent Poisson random variables with means 21 and 22, respectively. Find the a probability function of Y, + Y2. b conditional probability function of Y1, given that Y, + Y2 = m. 6.53 of Let Y1, Y2, . .. , Y, be independent binomial random variable with success given by pi, i = 1, 2, . . , n. trials and probability If all of the n; 's are equal and all of the p's are equal, find the distribution of >i=1. b If all of the n;'s are different and all of the p's are equal, find the distribution of Li=l* c If all of the n¡'s are different and all of the p's are egual, find the conditional distribution Yi given E=1 Y; = m. d If all of the n¡'s are different and all of the p's are equal, find the conditional distribution Y,+ Y2 given =1 Yi = m. e If all of the p's are different, does the method of moment-generating functions work wer to find the distribution of - Y;? Why? a i=1 6.54 Let Y, Y2, ... , Y, be independent Poisson random variables with means respectively. Find the a probability function of "
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