A. Lahey Electronics: Email Delivery Times & Probabilities

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SUMMARY

The internal study at Lahey Electronics established that the mean time for an internal email to arrive is two seconds, following a Poisson distribution. Using the Poisson Probability Formula, the probability of a message arriving in exactly one second is approximately 0.2707. The probability of a message taking more than four seconds to arrive is approximately 0.1429, while the probability of it arriving in virtually no time (zero seconds) is approximately 0.1353.

PREREQUISITES
  • Understanding of Poisson distribution
  • Familiarity with the Poisson Probability Formula
  • Basic knowledge of exponential functions
  • Ability to perform factorial calculations
NEXT STEPS
  • Study advanced applications of Poisson distribution in real-world scenarios
  • Learn about other probability distributions, such as Normal and Binomial distributions
  • Explore statistical software tools for probability calculations, such as R or Python's SciPy library
  • Investigate the implications of email delivery times on system performance and user experience
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Data analysts, software developers, and anyone involved in optimizing email systems or studying statistical distributions will benefit from this discussion.

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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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