Solve Probability Question Using Poisson Distribution: Get Odds of Overuse

AI Thread Summary
The discussion centers on calculating the probability of an employee taking 9 pairs of earplugs per week using the Poisson Distribution. The mean rate of earplug issuance is established at 7 pairs per week. The formula for the Poisson Distribution is provided, which calculates the probability of a specific number of events occurring in a fixed interval. The calculated probability for this scenario is approximately 5.92x10^-14, indicating an extremely low likelihood of overuse. This highlights the rarity of such an event occurring within the given parameters.
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Could anybody attempt to solve this probability question? It incorporates the Poisson Distribution. Thank You.

A company finds that it issues a mean of 7 pairs of earplugs a week to any employee. What is the probability that the number of pairs taken by any employee is 9 per week? (Using the Poisson Distribution). Explain what the odds are of such overuse.
 
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Pretty much straightforward question, what have u attempted?

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Hello Tenali,

Thanks for your response. I cannot find the formula to answer this problem which makes it incresingly difficult to answer.
 
Answer

Poisson Distribution: the probability that n events happened within an interval of length t has a Poisson distribution such that:

P{N(t)=n} = exp(-mt)(mt)^n/n!, for t>=0
where m (often defined as lamda) is the mean rate, i.e., m = 1/mean

For this problem, if we define an event to be a pair of earplug to be issued to an employee, then we are asked to find the probability that exactly 9 pairs of earplugs are taken by any employee a week, thus,
t = 1 week, (note that m and t have the same time units), n = 9
P{N(1)=9}=exp(-1/7*1)(1/7*1)^9/9! = 5.92x10^-14 (apprxo.)
 
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