(a) Radioactive particles are detected by a counter according to a Poisson process with rate parameter λ = 0.5 particles per second. What is the probability that two particles are detected in any given one second interval ?

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Chapter1: Combinatorial Analysis
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(a) Radioactive particles are detected by a counter according to a Poisson process with rate parameter λ = 0.5 particles per second. What is the probability that two particles are detected in any given one second interval ?
(b) Page visits to a particular website occur according to a Poisson process with rate parameter λ = 20 per minute. What is the expected number of visits to the website in any given one hour period ?
(c) What is the probability that the time of the first event that is observed to occur in a Poisson process with rate λ per unit time, after initiation at t = 0, occurs later than time t = t0, for fixed value t0 ? Justify your answer. 

The Poisson process is a model for events that occur in continuous time, at a constant rate ) > 0 per
unit time, with events occurring independently of each other. Specifically, if X (t) is the discrete
random variable recording the number of events that are observed to occur in the interval [0, t),
then we have that X (t) ~ Poisson(At), that is
p(x) = P(X(t) = x) = e¬At (At)“
x!
x = 0, 1, 2, ...
and zero otherwise. Also, the counts of events in disjoint time intervals are probabilistically
independent: for example, for intervals [0, t) and [t, t'+ s), the numbers of events in the two
intervals, X1 and X2 say, have the property
P(X1 = #10X2 = x2) = P(X1 = #1)P(X2 = x2)
%3D
with
X1 ~ Poisson(At)
X2 ~ Poisson(As).
With this information, answer the following questions based on the Poisson process model and
its relationship with the Poisson distribution.
Transcribed Image Text:The Poisson process is a model for events that occur in continuous time, at a constant rate ) > 0 per unit time, with events occurring independently of each other. Specifically, if X (t) is the discrete random variable recording the number of events that are observed to occur in the interval [0, t), then we have that X (t) ~ Poisson(At), that is p(x) = P(X(t) = x) = e¬At (At)“ x! x = 0, 1, 2, ... and zero otherwise. Also, the counts of events in disjoint time intervals are probabilistically independent: for example, for intervals [0, t) and [t, t'+ s), the numbers of events in the two intervals, X1 and X2 say, have the property P(X1 = #10X2 = x2) = P(X1 = #1)P(X2 = x2) %3D with X1 ~ Poisson(At) X2 ~ Poisson(As). With this information, answer the following questions based on the Poisson process model and its relationship with the Poisson distribution.
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