Your company has installed a large-area sensing network to manage a chemical plant. In this network, the probability that a message will fail to reach the base station is 0.005. If 2500 messages are sent per day, answer the following questions: (a)What is the probability that fewer than 2485 messages reach the base station? (b)-What is the probability that 7 of the messages fail to reach the base station?

Respuesta :

Answer:

a)P= 0.139

b)P(7)= 0.0352

Explanation:

Given that

Number of messages per day ,n=  2500

The probability that a message will fail,p=0.005

Here n is much much larger than the P that is why we will use Poisson distribution

In Poisson distribution

Mean ,λ= n  p

λ= 2500 x 0.005

λ=12.5

a)

The probability that fewer than 2485 messages reach the base station =P

[tex]P(x)=\dfrac{\lambda ^x.e^{-\lambda }}{x!}[/tex]

P= 1 - (P(0)+P(1)+P(2) ----------+P(15))

[tex]P(0)=\dfrac{12.5 ^0.e^{-1.25 }}{0!}[/tex]

[tex]P(1)=\dfrac{12.5 ^1.e^{-1.25 }}{1!}[/tex]

[tex]P(2)=\dfrac{12.5 ^2.e^{-1.25 }}{2!}[/tex]

[tex]P(3)=\dfrac{12.5 ^3.e^{-1.25 }}{3!}[/tex]

[tex]P=1-\left( \dfrac{12.5 ^0.e^{-1.25 }}{0!}+\dfrac{12.5 ^1.e^{-1.25 }}{1!}+\dfrac{12.5 ^2.e^{-1.25 }}{2!} +\dfrac{12.5 ^3.e^{-1.25 }}{3!}-----+\dfrac{12.5 ^{15}.e^{-1.25 }}{15!} \right)[/tex]

By  solving this

P= 0.139

b)

The probability that 7 of the messages fail to reach the base station=P(7)

[tex]P(7)=\dfrac{12.5 ^7.e^{-1.25 }}{7!}[/tex]

P(7)= 0.0352