MHB A. Lahey Electronics: Email Delivery Times & Probabilities

AI Thread Summary
Lahey Electronics conducted an internal study revealing that the mean time for an internal email to arrive is two seconds, following a Poisson distribution. The probability of a message arriving in exactly one second is approximately 0.2707. For messages taking more than four seconds, the probability is about 0.1429. Additionally, the probability of an email arriving in virtually no time, or zero seconds, is approximately 0.1353. These findings highlight the efficiency and reliability of email delivery within the company.
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"An internal study at Lahey Electronics,a large software development company,revealed the mean time for an internal email message to arrive at its destination was two seconds. Further, the distribution of the arrival times followed a Poisson distribution.
a.What is the probability a message takes exactly one second to arrive at its destination?
b.What is the probability it takes more than four seconds to arrive at its destination?
c.What is the probability it takes virtually no time, i.e., “zero” seconds?"
 
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I would begin with:

[box=green]
The Poisson Probability Formula

$$P(x)=e^{-\lambda}\frac{\lambda^x}{x!}\tag{1}$$[/box]

In this problem, we are given $$\lambda=2\text{ s}$$.

Can you now use this formula to answer the given questions?
 
Using (1) and $\lambda=2$, we find:

a.What is the probability a message takes exactly one second to arrive at its destination?

$$P(1)=e^{-2}\frac{2^1}{1!}=\frac{2}{e^2}\approx0.270670566473225$$

b.What is the probability it takes more than four seconds to arrive at its destination?

$$P(>4)=1-(P(0)+P(1)+P(2)+P(3)+P(4))=1-\frac{1}{e^2}\left(\frac{2^0}{0!}+\frac{2^1}{1!}+\frac{2^2}{2!}+\frac{2^3}{3!}\right)=1-\frac{1}{e^2}\left(1+2+2+\frac{4}{3}\right)=1-\frac{19}{3e^2}\approx0.142876539501453$$

c.What is the probability it takes virtually no time, i.e., “zero” seconds?"

$$P(0)=e^{-2}\frac{2^0}{0!}=\frac{1}{e^2}\approx0.135335283236613$$
 
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