
In a book of 500 pages, there are 500 misprinting errors, find the probability of at most three misprinting 3 pages selected at random the book.
Answer
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Hint: This problem will be solved using Poisson distribution, with =1 . A random variable X is to follow a Poisson Distribution if it assumes only non-negative values and its probability mass function is given by: . Using this find the probability of at most three misprinting 3 pages is given by: .
Complete step by step answer:
It is given in the question that in a book 500 pages are there out of which 500 misprinting errors are there. So the average number of errors per page in the book is given by lambda, =1. We need to find the probability of at most three misprinting in three pages that is we have to calculate,
Hence using Poisson probability law, the probability of errors per page is given by:
as
Now calculating separately by using the above expression and then substituting these values in equation (1) we will get the required probability.
as factorial of zero is 1.
(approximately)
Therefore,
Now we will calculate the value of
Thus,
Now we will calculate the value of
Thus we get
Now we will calculate the value of
Thus we get
Putting the values of from equation (2), (3), (4) and (5) in equation (1) we get,
Therefore, = 0.9808. Hence, the probability of at most three misprinting in three pages is 0.9808 approximately.
Note:
A random variable X is to follow a Poisson Distribution if it assumes only non-negative values and its probability mass function is given by: . In Poisson distribution and in this question =1 which is greater than 0, that is why we have used Poisson distribution.
Complete step by step answer:
It is given in the question that in a book 500 pages are there out of which 500 misprinting errors are there. So the average number of errors per page in the book is given by lambda,
Hence using Poisson probability law, the probability of
Now calculating
Therefore,
Now we will calculate the value of
Thus,
Now we will calculate the value of
Thus we get
Now we will calculate the value of
Thus we get
Putting the values of
Therefore,
Note:
A random variable X is to follow a Poisson Distribution if it assumes only non-negative values and its probability mass function is given by:
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