Question

(a) A lamp has two bulbs, each of a type with average lifetime 1000 hours. Assuming that we can model the probability of failure of a bulb by an exponential density function with mean $ \mu = 1000 $, find the probability that both of the lamp's bulbs fail within 1000 hours. (b) Another lamp has just one bulb of the same type as in part (a). If one bulb burns out and is replaced by a bulb of the same type, find the probability that the two bulbs fail within a total of 1000 hours.

          (a) A lamp has two bulbs, each of a type with average lifetime 1000 hours. Assuming that we can model the probability of failure of a bulb by an exponential density function with mean $ \mu = 1000 $, find the probability that both of the lamp's bulbs fail within 1000 hours.
(b) Another lamp has just one bulb of the same type as in part (a). If one bulb burns out and is replaced by a bulb of the same type, find the probability that the two bulbs fail within a total of 1000 hours.
        
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Calculus: Early Transcendentals
Calculus: Early Transcendentals
James Stewart 8th Edition
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(a) A lamp has two bulbs, each of a type with average lifetime 1000 hours. Assuming that we can model the probability of failure of a bulb by an exponential density function with mean $ \mu = 1000 $, find the probability that both of the lamp's bulbs fail within 1000 hours. (b) Another lamp has just one bulb of the same type as in part (a). If one bulb burns out and is replaced by a bulb of the same type, find the probability that the two bulbs fail within a total of 1000 hours.
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Transcript

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00:01 In this question we're told that the time lasted by a bowl is exponential with an average of 1 ,000, which means that it has a rate of 1 over 1 ,000.
00:16 So that means that the density of t is going to be 1 over 1 ,000, e to the minus x over 1 ,000, sorry, e to the minus t of 1 ,000, for t greater than 0.
00:38 So first of all, we want to find the probability that both of the lamps bulbs fail within a thousand hours.
00:48 So if we have t1, t2 are independent and identically distributed according to t.
00:54 What's the probability that t1 is less than 1 ,000 hours and t2 is less than 1 ,000 hours as well? well, this is just the probability that t is less than 1 ,000 hours squared because they're independent.
01:08 So this is going to be the integral from 0 to 1 ,000, 1 over 1 ,000, e to the minus t over 1 ,000 d t squared.
01:22 So that's minus e to the minus t over 1 ,000 between 0 and 1 ,000 squared.
01:32 So this is going to be 1 minus e to the minus 1 squared.
01:38 So that gives us 1 minus 1 over e squared.
01:45 Is 0 .3996.
01:56 So that's the probability that they both fail within a thousand hours.
02:00 So t1, t2, less than a thousand.
02:08 Okay, so another lamp has just one bowl.
02:12 And so if we say that now, t1 is the lifetime of bulb one, t2, t2, is the lifetime of bulb 2.
02:33 We want to know what's the probability that they both fail within a thousand hours.
02:36 So what's the probability that t1 plus t2 is less than a thousand? well, that's the probability that t2 is less than a thousand minus t1...
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