Tom K. answered 08/16/20
Knowledgeable and Friendly Math and Statistics Tutor
We will use I[a,b] for the integral from a to b and E[a,b] for the expectation from a to b
The probability that there are 0, 1, 2, and 3 cuts to the left of the 6-inch mark are 1/8, 3/8, 3/8, and 1/8
As P(all 3 >= x) = (12-x)^3/1728, f(x) = 3(12-x)^2/1728. Conditioning this on all three being >= 6, f(x) = 3(12-x)^2*8/1728 = (12-x)^2/72
Then, the average length is I[6,12] x(12-x)^2/72 dx = I[6,12] 2x - x^2/3 + x^3/72 dx = x^2 - x^3/9 + x^4/288 E[6,12] = 12^2 - 12^3/9 + 12^4/288 - (6^2 -6^3/9+6^4/288) = (144 - 192 + 72) - (36 - 24 + 9/2) = 7 1/2
If all 3 <= x, we will have the same average value of 7 1/2
Next, consider 2 to the left of 6 and 1 to the right of 6. As the 1 will be uniformly distributed from 6 to 12, it will average 9 or 3 to the right of 6.
For the 2 to the left of 6, P(both are less than or equal to x) is x^2/36, so the density is 2x/36 = x/18, and the average location of the second is I0, 6] x^2/18 dx= x^3/54 E[0, 6] = 6^3/54 - 0 = 4. Then, the average amount to the left of 6 is 6 - 4 = 2.
Thus, the length is 2 + 3 = 5
By symmetry, the average length for 1 to the left of 6 and 2 to the right of 6 will also be 5.
Thus, the expected length is 7 1/2 * 1/8 + 5 * 3/8 + 5 * 3/8 + 7 1/2 * 1/8 = 15/16 + 15/8 + 15/8 + 15/16 = 45/8
Many J.
Tom, thank you for the help, but I’m having a bit of trouble following your answer. Is there anyway you could clean up the notation so it’s easier to follow?08/16/20
Tom K.
Just replace I[a,b] with an integral sign and E[a,b] with the expectation sign used in integration. Note that you multiply a density by x before you integrate to get an expected value.08/16/20
Many J.
Thanks.08/16/20
Tom K.
I verified the solution via simulation!08/16/20