Expected Lifetime of Watches with Pareto Distribution

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SUMMARY

The expected lifetime of watches produced by a specific manufacturer follows a single-parameter Pareto distribution characterized by alpha > 1 and theta = 4, yielding an expected lifetime of 8 years. The probability that a watch lasts at least 6 years is calculated to be 0.444. For watches that have already survived 6 years, the expected remaining lifetime is determined using the conditional density function f_X(x|X ≥ 6), rather than simply being 8 years.

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For watches produced by a certain manufacturer, lifetimes follow a single-parameter Pareto distribution with alpha > 1 and theta = 4. The expected lifetime of a watch is 8 years.

a) Calculate the probability that the lifetime of a watch is at least 6 years.
b) For the same distribution as above, calculate the expected life of a watch that has already survived 6 years.

I did part a) and got the right answer: 0.444.

Not sure about part b). Wouldn't the answer be 8 years?
 
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BrownianMan said:
For watches produced by a certain manufacturer, lifetimes follow a single-parameter Pareto distribution with alpha > 1 and theta = 4. The expected lifetime of a watch is 8 years.

a) Calculate the probability that the lifetime of a watch is at least 6 years.
b) For the same distribution as above, calculate the expected life of a watch that has already survived 6 years.

I did part a) and got the right answer: 0.444.

Not sure about part b). Wouldn't the answer be 8 years?

Different articles on Pareto distributions use different names for the parameters, so it is not clear what you mean by α and θ. Please describe in more detail, or give a formula for the density function, or something similar.

For (b): the lifetime L = 6+R, where R = remaining life: ER is calculated using the conditional density ##f_X(x| X \geq 6).##
 

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