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I'm sorry if this question is trivial but I'm new at this and I'm learning this stuff on my own from a book + youtube tutorials so I haven't really got anyone to ask. I have the following exercise from a book of basic probability theory:

"A process is divided into 3 sub-processes which are carried out in parallel. Each sub-process takes an Exponential amount of time, 5 minutes on the average, independent of the other sub-processes. The process is finished when all sub-processes are finished. What is the expected time for the full process to complete?"

If I understand this correctly we have three random variables X1, X2, X3 ~ Exponential(1/5)$X_1, X_2, X_3 \sim Exponential(1/5)$. My naive guess would be that the expected time is 5 minutes as the sub-processes are independent and parallel but I'm probably missing something. I guess I could compute the joint distribution f(Y) = f(X1, X2, X3)$f(Y) = f(X_1, X_2, X_3)$ and calculate E(Y)$E(Y)$ from this. However, this entails calculating a triple integral and I'm hoping something in the simple setup (independence and identical distributions) means there is a simpler solution. Can anyone give me any advice?

I'm sorry if this question is trivial but I'm new at this and I'm learning this stuff on my own from a book + youtube tutorials so I haven't really got anyone to ask. I have the following exercise from a book of basic probability theory:

"A process is divided into 3 sub-processes which are carried out in parallel. Each sub-process takes an Exponential amount of time, 5 minutes on the average, independent of the other sub-processes. The process is finished when all sub-processes are finished. What is the expected time for the full process to complete?"

If I understand this correctly we have three random variables X1, X2, X3 ~ Exponential(1/5). My naive guess would be that the expected time is 5 minutes as the sub-processes are independent and parallel but I'm probably missing something. I guess I could compute the joint distribution f(Y) = f(X1, X2, X3) and calculate E(Y) from this. However, this entails calculating a triple integral and I'm hoping something in the simple setup (independence and identical distributions) means there is a simpler solution. Can anyone give me any advice?

I'm sorry if this question is trivial but I'm new at this and I'm learning this stuff on my own from a book + youtube tutorials so I haven't really got anyone to ask. I have the following exercise from a book of basic probability theory:

"A process is divided into 3 sub-processes which are carried out in parallel. Each sub-process takes an Exponential amount of time, 5 minutes on the average, independent of the other sub-processes. The process is finished when all sub-processes are finished. What is the expected time for the full process to complete?"

If I understand this correctly we have three random variables $X_1, X_2, X_3 \sim Exponential(1/5)$. My naive guess would be that the expected time is 5 minutes as the sub-processes are independent and parallel but I'm probably missing something. I guess I could compute the joint distribution $f(Y) = f(X_1, X_2, X_3)$ and calculate $E(Y)$ from this. However, this entails calculating a triple integral and I'm hoping something in the simple setup (independence and identical distributions) means there is a simpler solution. Can anyone give me any advice?

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Parallel independent exponential processes

I'm sorry if this question is trivial but I'm new at this and I'm learning this stuff on my own from a book + youtube tutorials so I haven't really got anyone to ask. I have the following exercise from a book of basic probability theory:

"A process is divided into 3 sub-processes which are carried out in parallel. Each sub-process takes an Exponential amount of time, 5 minutes on the average, independent of the other sub-processes. The process is finished when all sub-processes are finished. What is the expected time for the full process to complete?"

If I understand this correctly we have three random variables X1, X2, X3 ~ Exponential(1/5). My naive guess would be that the expected time is 5 minutes as the sub-processes are independent and parallel but I'm probably missing something. I guess I could compute the joint distribution f(Y) = f(X1, X2, X3) and calculate E(Y) from this. However, this entails calculating a triple integral and I'm hoping something in the simple setup (independence and identical distributions) means there is a simpler solution. Can anyone give me any advice?