How Do You Calculate Battery Life Probability After 180 Hours?

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SUMMARY

The discussion focuses on calculating the conditional probability of a battery lasting at least another 50 hours after already functioning for 180 hours. The probability density function for the battery life is defined as f(x) = (1/1000)e^(-x/1000) for x ≥ 0. The solution involves integrating the probability density function over the appropriate boundaries to determine Pr(A|B), where A is the event of lasting at least 230 hours and B is the event of lasting at least 180 hours.

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Homework Statement


The life (in hours) of a particular brand of batteries is a random variable with probability density function given by f(x) = {1/1000e^(-x/1000)}, x ≥ 0, 0 elsewhere.

If after 180 hours of operation a battery is still working, what is the probability that it will last at least another 50 hours?


Homework Equations


Integration


The Attempt at a Solution


Integration of the equation, which becomes [-e^(-x/1000)]
Problem is, what boundaries is it supposed to have?
I have figured out from 0 --> 180, that is a given right? Because the question states 'if after 180 hours of operation', so it must have worked up to 180 hours.
but now what? I am sure it has got to do with finding the Probability (B) | Probability (A), which is equal to Pr (A|B) = Pr (A intersect B) / Pr (B)
 
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This is a conditional probability question: given that it has lasted 180 hours (that's the event on which to condition) you need to know the probability it will last another 50 hours.
 

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