Poisson Distribution: Prob of <=3 Wrong Connections in Building

SE Class 10 Mathematics Question Paper 2020In summary, the conversation discusses a building with 2 independent automatic telephone exchanges A and B, where X represents the number of wrong connections for A in a day and Y represents the number of wrong connections for B in a day. It is mentioned that X follows a Poisson distribution with parameter 0.5 and Y follows a Poisson distribution with parameter 1. The task is to calculate the probability of there being at most 3 wrong connections in the building in a particular day, given that X is greater than or equal to 2. The formula P(X+Y≤3|X≥2) is used to solve this problem.
  • #1
Punch
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A building has 2 independent automatc telephone exchanges A and B. The number X of wrong connections for A in anyone day is a poisson variable with parameter 0.5 and the number Y of wrong connections for B in any one day is a poisson variable with parameter 1.

Calculate in any particular day, the probability that there will be at most 3 wrong connections in the building given X≥2

I tried using P(X=2)P(Y=0)+P(X=2)P(Y=1)+P(X=3)P(Y=0) but the answer was wrong
 
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  • #2
Punch said:
A building has 2 independent automatc telephone exchanges A and B. The number X of wrong connections for A in anyone day is a poisson variable with parameter 0.5 and the number Y of wrong connections for B in any one day is a poisson variable with parameter 1.

Calculate in any particular day, the probability that there will be at most 3 wrong connections in the building given X≥2

I tried using P(X=2)P(Y=0)+P(X=2)P(Y=1)+P(X=3)P(Y=0) but the answer was wrong

\[P(X+Y\le 3|X\ge 2)=\frac{P(X=3)P(Y=0)+P(X=2)P(Y\le 1)}{P(X\ge 2)}\]CB
 

1. What is Poisson Distribution?

Poisson Distribution is a statistical distribution that helps to predict the probability of a certain number of events occurring within a specific time interval or space when the events are independent and the probability of the event happening is low.

2. How is Poisson Distribution related to buildings and wrong connections?

Poisson Distribution can be used to calculate the probability of a certain number of wrong connections occurring in a building when the number of connections and the probability of a wrong connection are known.

3. Why is Poisson Distribution useful in building management?

Poisson Distribution is useful in building management because it can help predict the likelihood of a certain number of wrong connections occurring, allowing building managers to plan and allocate resources accordingly.

4. Can Poisson Distribution be used to calculate the probability of more than 3 wrong connections in a building?

Yes, Poisson Distribution can be used to calculate the probability of any number of wrong connections in a building. It is not limited to 3 connections.

5. Are there any limitations to using Poisson Distribution for predicting wrong connections in buildings?

Yes, Poisson Distribution assumes that the events are independent and the probability of the event occurring remains constant throughout the time interval or space. In reality, this may not always be the case, which may affect the accuracy of the predictions.

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