(a)  Use a detailed mathematical derivation to prove that the claim is true. (b)  Write an original problem using this concept and provide a correct solution. Show that solving directly for P(N1(t) = k | N(t) = j) and transforming the problem based on binomial random variables give the same answer.

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Chapter1: Combinatorial Analysis
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(a)  Use a detailed mathematical derivation to prove that the claim is
true.
(b)  Write an original problem using this concept and provide a correct
solution. Show that solving directly for P(N1(t) = k | N(t) = j) and transforming
the problem based on binomial random variables give the same answer.
 
 
1. Consider any Poisson Process with arrival rate A. Suppose that there are two types
of arrivals, where the first type of arrival comprise a proportion p of all arrivals and,
likewise, the second type comprise a proportion 1 - p. Let N₁(t), N₂(t), and N(t)
denote the number of type 1 arrivals, type 2 arrivals, and total arrivals, respectively,
by time t.
Claim: For any real number t ≥ 0 and non-negative integers n ≥ k ≥ 0, we have
P(N₁(t) = k|N(t) = n) = P(X = k),
where X is a binomial random variable with success probability p and total number of
trials n.
Transcribed Image Text:1. Consider any Poisson Process with arrival rate A. Suppose that there are two types of arrivals, where the first type of arrival comprise a proportion p of all arrivals and, likewise, the second type comprise a proportion 1 - p. Let N₁(t), N₂(t), and N(t) denote the number of type 1 arrivals, type 2 arrivals, and total arrivals, respectively, by time t. Claim: For any real number t ≥ 0 and non-negative integers n ≥ k ≥ 0, we have P(N₁(t) = k|N(t) = n) = P(X = k), where X is a binomial random variable with success probability p and total number of trials n.
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