I'm facing some difficulties in this question:
The probability of a person arrive to a parking lot before 8:00 am is 0.4, the probability to find a place to park given that she arrived before 8:00am is 0.6. If she get after 8:00 am, the probability to find a place to park is 0.3.
Given that the person, in 3 days, arrived exactly 2 days before 8:00 am, what is the probability that she successfully parked at least 1 day.
I tried different approaches, but in each of those I got a different result.
I tried to define: X: Number of days that she successfully parkedP(X>=1) = $1-P(X=0)$ = and I got $0.66$, but when I try to do P(X=1)+P(X=2)+P(X=3) i got $0.875$ . I don't know what I'm missing.
I tried:$1-P(X=0) = 1 - \binom{3}{1}$ *P(not park in a day | arrived to the parking lot before 8:00) * P(not park in a day | arrived to the parking lot before 8:00) * P(not park in a day | arrived to the parking lot after 8:00)
= $1 - 3*0.4*0.4*0.7 = 1 - 0.336 = 0.664$
The second approach was thinking that if I know that the person arrives 2 days before 8:00 and 1 day after 8:00, so now the probability of arrive to a parking lot in 3 days before 8:00 is $\frac{2}{3}$ and $\frac{1}{3}$ before 8:00. And I did $1 - P(Not Park)^3 = 1 - .5^3 = 0.875$
Without loss of generality: the person arrived before 8am on the 1st two days and after 8am on the 3rd day.
When the person arrives before 8am, p(failure) = 0.4.
When the person arrives after 8am, p(failure) = 0.7.
Therefore, chance of 3 consecutive failures if $(0.4)^2 \times 0.7$.
Then chance of success is $1 - $ chance of 3 consecutive failures.
The probability is given that the chance of a person arriving before 8am is $(0.4)$. Because you are given that the person arrived before 8am on exactly 2 of the 3 days, the probability equaling $(0.4)$ may reasonably be construed to be a red herring.
If you had not been given the information that the person arrived before 8am on exactly 2 of the 3 days, then the problem would have been significantly more complicated.
You would then have had to reason that the chance of there being no parking space on 1 specific day is
$$[(0.4) \times (0.4)] + [(0.6) \times (0.7)].$$