Question on exponential distribution?

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SUMMARY

The discussion centers on the exponential distribution and its application in solving probability problems. The correct approach to finding the probability P(X ≤ 4.5) - P(X ≤ 2.5) is emphasized, clarifying that the exponential distribution's probability density function (pdf) is f(x) = λe-λx for x ≥ 0. The misconception regarding the Poisson distribution is addressed, highlighting that it is discrete and not applicable in this continuous context. The cumulative distribution function (CDF) F(x) is crucial for determining probabilities in this scenario.

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  • Explore the differences between Poisson and exponential distributions
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Homework Statement


BR73C0s.png


Homework Equations


f(x) = eλx/x!

The Attempt at a Solution


Initially I thought I could solve this problem using the Law of Memoryless. That, the solution would just be P(X <= 2). However, I was wrong. Turns out the solution is P(X <= 4.5) - P(X<= 2.5). Does anyone know why?
 
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First of all the equation you listed is actually a poisson distribution. As the Poisson distribution is discrete, it really wouldn't make sense in this situation.

http://en.wikipedia.org/wiki/Exponential_distribution

The an exponential distribution has pdf of the form:

f(x) = λe-λx for x ≥ 0.

Anyway, what you said isn't quite right.

Turns out the solution is P(X = 4.5) - P(X=2.5)

Since this is a continuous distribution, P(X = 4.5) = 0. In fact, P(X = c) = 0 for any c.

The solution would actually be P(X ≤ 4.5) - P(X ≤ 2.5) = F(4.5) - F(2.5).

Where F(x) is the cumulative distribution function.

The reason for this is that you want X to be less that 4.5, but all the stuff below 2.5 is not wanted , so you subtract off the probability that X is less that 2.5.
 
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