(a) Let C denote the time when the room goes dark. Find the pdf of C. b) What is E[C]? Hint: the pdf you obtain in part (a) should be of a familiar type. (c) Suppose light bulb B burns out first. You then move light bulb A to another room, where it is the only bulb. Starting at the time it is turned on in the new room, what is the expected lifetime of bulb A in the new room? Hint: this question can be answered independently of parts (a) and (b).
Please help answer this practice problem
![A room is lit by two light bulbs which are connected in a series circuit. If either light bulb fails, the room will go dark.
Let \( A \) and \( B \) denote the lifetimes (in years) of these two light bulbs. Assume that \( A \sim \text{Exp}(2) \), that \( B \sim \text{Exp}(3) \), and that \( A \) and \( B \) are independent of each other.
(a) Let \( C \) denote the time when the room goes dark. Find the pdf of \( C \).
(b) What is \( E[C] \)?
*Hint: the pdf you obtain in part (a) should be of a familiar type.*
(c) Suppose light bulb \( B \) burns out first. You then move light bulb \( A \) to another room, where it is the only bulb.
Starting at the time it is turned on in the new room, what is the expected lifetime of bulb \( A \) in the new room?
*Hint: this question can be answered independently of parts (a) and (b).*](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc012e98d-11f3-4ebf-9e91-31a87ace6c91%2Fe124d9ea-f23c-4a4e-899f-49ec2d5c3f9b%2Fpb06w8_processed.png&w=3840&q=75)
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Given,
A room is lit by two light bulbs bulbs which are connected in series circuit. if either light bulb fails, the room will go dark
Let denote the lifetimes (in years) of these two light bulbs .
Assume that :
are independent of each other
(a)
To find the probability density function (pdf) of , we will consider that
is the minimum of
(since if either bulb fails, the room goes dark)
Since are independent ,we can use the fact that the minimum of independent exponential random variables follows an exponential distribution with rate the parameter equal to the sum of the individual rates. Therefore,
(b)
the expected values of, denotes as,
for an exponential distribution with rate
is given by
In this case the rate parameter of is
(which is the sum of the individual rate
) so,
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