1 and 2 are the same problem (assuming that every runner as an equal chance of winning the race or of finishing at any given place).
When you select A people among B, the number of choices is C(A,B) = B ! / (A ! x (B-A) !)
For example on 1 (question A) :
top three finishers are all men : C(3,8) = number of choices of selecting 3 people among 8 men.
C(3,8) = 8! / (3! x 5!) = 8x7x6x5x4x3x2x1 / ( 3x2x1 x 5x4x3x2x1 ) = 56
total number of possible finishers : C(3,19) = number of choices of selecting 3 people among 19 runners.
C(3,19) = 19! / (3! x 16!) = 19x18x17 / (3x2x1) = 969
Probabilty = 56 / 969 ~ 5.779 %
For example on 2 (question C) :
select 8 men among 22 : C(8,22) = 22x21x20x19x18x17x16x15 / (8x7x6x5x4x3x2x1) = 319770
select 4 women among 21 : C(4,21) = 21x20x19x18 / (4x3x2x1) = 5985
total number of jurys with 8 men and 4 women = 319770 x 5985 = 1913823450
total number of jurys : select 12 people among 43 : C(12,43) = ... = 15338678264
Probability = 1913823450 / 15338678264 ~ 12.477 %
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For a Poisson distribution, probability of being equal to k is : λ^k . exp(-λ) / k!
where λ is the average value.
A) 'at least 1 arrives' is the opposite of 'none arrives'.
Here, λ = 29/60 per second (average 29 particles over 60 seconds).
Probability of none arriving is : λ^0 . exp(-λ) / 0! = exp(-λ)
Probability of at least 1 arriving is : 1 - exp(-λ) ~ 38.3276 %
B ) 'at least 2 arrives' is the opposite of 'none or only 1 arrives'.
Now, λ = 29/20 per 3 seconds (average 29 particles over 20x3 seconds).
Probability of none or 1 arriving is : λ^0 . exp(-λ) / 0! + λ^1 . exp(-λ) / 1!= (1+λ).exp(-λ) ~ 57.4697 %
Probability of at least 2 arriving : ~ 100% - 57.4697% = 42.5303 %
Feel free to pm if something is not clear.
Good luck !
This post was edited by feanur on Feb 28 2018 09:38pm