Asked by Arrival
Each magazine that Charlie reads takes an amount of time that follows an exponential distribution with mean 10 minutes. The number of magazines that Charlie reads on any given day has a Poisson distribution with mean 2 . Assume that each reading session always falls within a single day (he does not read past midnight).
Furthermore, suppose that the number of magazines that Charlie reads on different days are independent, and that the lengths of time he takes to read each magazine is also independent of each other.
For simplicity, assume that he only reads 1 magazine at a time and that there are 30 days in each given month.
Let T be the total number of minutes Charlie spends reading magazines in one month.
E(T) =
VAR(T) =
Furthermore, suppose that the number of magazines that Charlie reads on different days are independent, and that the lengths of time he takes to read each magazine is also independent of each other.
For simplicity, assume that he only reads 1 magazine at a time and that there are 30 days in each given month.
Let T be the total number of minutes Charlie spends reading magazines in one month.
E(T) =
VAR(T) =
Answers
Answered by
yp
600
12000
part b?
12000
part b?
Answered by
rajesh
1) 600
2) 12000
3) 0 (not sure)
2) 12000
3) 0 (not sure)
Answered by
rajesh
about 3: Sn ~ N(720, 720), 99.73% of the realizations lie between 639 and 800 magazines/year -> P(3500 < Z < 3600) = 0
Answered by
el
Part 3
is 0 the final answer
is 0 the final answer
Answered by
Bear
Why part 2 is 12,000 and not 17,400 (12,000 + 5,400)?
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