Use the result that for a nonnegative random variable E [ Y ] = ∫ 0 ∞ P { Y > t } d t to show that for a nonnegative random variable E [ X n ] = ∫ 0 ∞ n x n − 1 P { X > x } d x . Hint: Start with E [ X n ] = ∫ 0 ∞ P { X n > t } d t and make the change of variables t = x n .
Use the result that for a nonnegative random variable E [ Y ] = ∫ 0 ∞ P { Y > t } d t to show that for a nonnegative random variable E [ X n ] = ∫ 0 ∞ n x n − 1 P { X > x } d x . Hint: Start with E [ X n ] = ∫ 0 ∞ P { X n > t } d t and make the change of variables t = x n .
Solution Summary: The author explains that the system equation Eleft[Xnright]=displaystyle
Use the result that for a nonnegative random variable
E
[
Y
]
=
∫
0
∞
P
{
Y
>
t
}
d
t
to show that for a nonnegative random variable
E
[
X
n
]
=
∫
0
∞
n
x
n
−
1
P
{
X
>
x
}
d
x
.
Hint: Start with
E
[
X
n
]
=
∫
0
∞
P
{
X
n
>
t
}
d
t
and make the change of variables
t
=
x
n
.
Q prove or disprove: If Ely/x) = x = c(dipy
=BCCo
(BVC)
ECxly)=y, and E(X2), Ely)
In a small office, there are m = 5 typists who need to use a single typewriter to complete their reports. Assume the time
each typist takes to prepare a report follows an exponential distribution with an average of 20 minutes per preparation
(A = 3 reports/hour), and the service time for the typewriter to type out a report also follows an exponential distribution,
averaging 30 minutes to complete a report (μ 2 reports/hour). Given that the number of typists is finite and all typists
=
share one typewriter, they will form a waiting queue.
(1). Describe this queuing system and explain how it fits the characteristics of the M/M/1/∞0/m model.
(2). Calculate the probability that any typist is using the typewriter at steady-state.
(3). Calculate the average number of typists waiting in the queue at steady-state.
(4). Considering the need to reduce waiting time, if an additional typewriter is introduced (turning into a two-server
system, or M/M/2/∞0/m model), analyze the expected impact,…
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