Using Poisson random variables to calculate this probability

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The discussion centers on calculating the probability of fewer than 196 events occurring in a time period of 90, using a Poisson distribution with a frequency of 2.5. The initial calculations included a mean of 78.4 and a standard deviation of 5.6, but the user recognized an error in using a decimal factorial. The correct approach requires incorporating the total number of events, 196, into the calculations. The user seeks clarification on solving the problem accurately, emphasizing the importance of the given parameters. Understanding the relationship between the number of events and the expected outcomes is crucial for accurate probability determination.
Karl Porter
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Homework Statement
A certain theory supposed that mistakes in cell division occur according to a Poisson process with rate 2.5 per year, an individual dies when 196 mistakes have occured.
Relevant Equations
c) the probability that an individual reaches age 90
d)find the probability that an individual died before age 67.2
I calculated the mean which is 78.4
And the Standard deviation is 5.6
I thought the answer would be (90^(-78.4)/78.4!)*e^-90
But looking back having a decimal factorial doesn't make sense

I have the numerical answers for c)= 0.019226
and d)=0.022750
but I my solution was wrong.

Any help on how this question is actually solved would be great
 
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The clue that your answer is wrong lies in the fact that you haven't used the given number of 196, even though the answer must depend on that - the greater the number of mistakes needed to kill, the longer the expected life.
What is the probability of having fewer than 196 events in a time period of length 90, given a Poisson frequency of 2.5?
 

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