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Probability of drawing a card.?
Hi,
My friends and I have no idea on how to do probabilities and came up with a problem to solve (and I'd like to be the first).
The problem is if there are 5 cards and you would like to draw one of 4 of them (So, one draw is a 4/5 chance of getting a desired card) a total of 4 times and you have 12 trials, what is the likelihood of this occurring?
Also, if a general answer where there are Y cards and you'd like to draw one of X, Z times in W trials, what is the likelihood of occurrence?
Thank you much!
I knew I was going to mess up the phrasing, thank you so much so far, but what I meant is to draw at least 4 good cards out of 12 trials (so drawing 4, 5, 6, 7... good cards is okay). If this version could also be answered it would be much appreciated!
1 Answer
- PuzzlingLv 71 decade agoFavorite Answer
The probability of drawing a desired card on a single draw is:
4/5 = 80%
The probability of drawing a desired card every time on two draws is:
4/5 x 4/5 = 16/25 = 64%
The probability of drawing a desired card every time for *twelve* draws is:
4/5 x 4/5 x 4/5 x ... x 4/5
= (4/5)^12
≈ 6.9%
Now if you are talking about some of the trials, say 4 out of the 12 trials you have to get into combinations. First, let's figure the probability that the first 4 draws are the desired card:
4/5 x 4/5 x 4/5 x 4/5
Then let's make the other 8 draws not be the card:
1/5 x 1/5 x 1/15 x 1/5 x 1/5 x 1/5 x 1/5 x 1/5
So the total probability is:
(4/5)^4 x (1/5)^8
But this was only for one specific way of drawing 4 good cards and 8 bad cards. There are actually numerous ways to do that. There are "12 choose 4" ways to do that.
C(12,4) = 12! / (12-4)! 4!
= (12 x 11 x 10 x 9) / (4 x 3 x 2 x 1)
= 495 ways
So multiply the single probability by 495.
495 x (4/5)^4 x (1/5)^8
So the probability that exactly 4 of the trials would be good is:
≈ 0.052%
Here's the general formula:
p is the probability of the event happening on a single trial
q is the probability of it not happening
n is the number of trials
k is the exact number of trials where you'll have success.
P(n = k) = C(n,k) * p^k * q^(n-k)
For your case:
p = X/Y
q = 1 - X/Y
n = W
k = Z
If you are interested, read more about binomial probability.