The random variable X is said to be a discrete uniform random variable on the integers 1.2..... n if P { X = i } = 1 n i = 1 , 2 , ... , n . For any nonnegative real number x, let in t(x) (sometimes written as [x]) be the largest integer that is less than or equal to x. Show that if U is a uniform random variable on (0, 1), then X = int ( n U ) + 1 is a discrete uniform random variable on 1. ....n.
The random variable X is said to be a discrete uniform random variable on the integers 1.2..... n if P { X = i } = 1 n i = 1 , 2 , ... , n . For any nonnegative real number x, let in t(x) (sometimes written as [x]) be the largest integer that is less than or equal to x. Show that if U is a uniform random variable on (0, 1), then X = int ( n U ) + 1 is a discrete uniform random variable on 1. ....n.
Solution Summary: The author explains that X is a discrete uniform random variable on 1,mathrm...,n.
The random variable X is said to be a discrete uniform random variable on the integers 1.2..... n if
P
{
X
=
i
}
=
1
n
i
=
1
,
2
,
...
,
n
.
For any nonnegative real number x, let in t(x) (sometimes written as [x]) be the largest integer that is less than or equal to x. Show that if U is a uniform random variable on (0, 1), then
X
=
int
(
n
U
)
+
1
is a discrete uniform random variable on 1. ....n.
A football player makes 350 out of every 400 passes he throws. In a game he usually throws 26 passes. Estimate how many of these passes will be successful
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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