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a) What is the probability that exactly ten arrive during the hour and all ten have no violations?
According to Poisson's law, the probably that exactly ten cars arrive within the same hour is :
(rate) ^ ten * exp ( - rate) / factorial (ten)
10^10 * exp ( -10) / 10!
~ 0.12511 ( ~ 12.5%)
Now, given that 10 cars have arrived, you must compute the probability that none shows violation.
Since this probablilty is 0.5 (50%) for a single car, the probability that it happens for 10 cars in a row is : 0.5 ^ 10 = 1/1024 ~ 0.000977 (~0.1 %).
Just multiply the two probabilities for the first answer : ~ 0.12511*0.000977 ~ 0.000122 ( 0.0122%)
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For any fixed
y ≥ 10, what is the probability that
y arrive during the hour, of which ten have no violations?
Repeat the same for a given y :
probability for
y cars to arrive = (rate)^
y * exp (-rate) / factorial (
y) = 10^
y * exp(-10) / (
y!)
Then, among those
y cars, use binomial law to find the probability that exactly 10 have no violations :
(10 among
y) * (0.5 ^ 10) * (0.5 ^ (
y-10))
which turns out to be :
(10 among
y) * 0.5 ^
yNow multiply both probabiliies, and simplify using the fact that :
(0.5 ^
y) * (10 ^
y) = (0.5*10) ^
y = 5 ^
yand that :
( 10 among
y ) =
y ! / ( (10 !) * (
y - 10) ! )
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c) What is the probability that three “no violation” cars arrive during the next hour?
The question should rather be : "that 10 no violation cars" instead of three.
This probability is the sum of the following probabilities :
- exactly 10 cars arrives and, among them, exactly 10 have no violation (we already have calculated that probability at question a)
- exactly 11 cars arrives and, among them, exactly 10 have no violation (use question b with
y = 11)
- exactly 12 cars arrives and, among them, exactly 10 have no violation (use question b with
y = 12)
- exactly 13 cars arrives and, among them, exactly 10 have no violation
...
Sum from
y = 10 to infinity, as the hint suggests.