Distribution of repair times

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Reference no: EM132399696

Suppose that you have a service technician come to your home at 10 a.m. to look at an issue in your television - after all, you need to watch Hallmark Christmas Movies in crystal clear HD with no interruptions. After a quick inspection of the problem, the technician tells you that he expects the fix to take about 1 hour. Since we don't know anything else about the distribution of repair times, assume repair times follow an Exponential Distribution.

If your favorite cheesy holiday flick starts at 10:30, what is the likelihood that the technician is finished by then?

How likely is it that the repair takes longer than 3 hours?

Reference no: EM132399696

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