Exponential Distribution: Calculating the Half-Life & Survival Rate of a Rock"

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A rock containing 10^20 atoms of a substance has an exponentially distributed lifetime with a half-life of one century. To determine when there is a 50% chance that at least one atom remains, the probability of no atoms surviving must equal 0.5, leading to the equation P(k=0) = e^-μ. The calculations suggest that approximately 65 centuries must pass for this probability to hold true, although there are noted errors in the assumptions regarding μ. The discussion emphasizes the need for careful consideration of the underlying statistical models, such as Poisson or binomial distributions, to verify the results.
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A piece of rock contains 10^20 atoms of a particular substance. Each atom has an expoentially distributed lifetime with a half-life of one century. How many centurites must pass before

there is about a 50% chance that at least one atom remains. What assumptions are you making?

answer:

so P (at least one survives past t) = P (no one does) = .5

now, I'm making the assumption that Prob of survival is so small and since n is huge, this follows a poisson disn.

thus .5 = P(k=0) = e

then μ = ln 5

now μ = np = 1020* e-ln 2 t. ln 2 is my parameter since half time is 1 century.

thus t = ln(1020/ln 5) * (ln 2)-1 ≈ 65 years
 
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Your time unit is centuries, not years. So your answer (I didn't check arithmetic) is 65 centuries.
 
what about the theory, is it correct?
 
.5 = P(k=0) = e

then μ = ln 5

Above has error, μ = -ln.5 = ln2

The general idea is correct. You might try a binomial to check. The result should be about the same.
 
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