A bag contains 4 balls.Two balls are drawn at random, and are found to be white. What is the probability that all balls are white ?

1

  • -11

 Two balls are certainly white. So the remaining balls may be one of the following

{WW, WN, NW, NN}

where W means a white ball and N means non-white ball

Let the events be:

E- all four balls are white(WW)

F- 3 balls are white(WN, NW)

G- only two balls are white(NN)

Now, P(E) = P(G) = 1/4, and P(F) = 1/2

Let A be the event that the two balls drawn are white

P(A|E) = 4C2/4C2 = 1

P(A|F) = 3C2/4C2 = 1/2

P(A|G) = 2C2/4C2 = 1/6

Now By Bayes' Theorem,

required probability = P(E|A) = (1*1/4) / ( 1*1/4 + 1/2*1/2 + 1/6*1/4 )

  = (1/4) / ( 13/24 )

  = 6/13

  • -6

it is not corrent answer

  • 1

To solve the problem carefully, we need to set up some machinery. Let A be the event they are all white, and F be the event the first two balls removed are white. We want Pr(W|F).

By using the defining formula Pr(W|F)=Pr(W∩FPr(F for conditional probabilities, we can calculate a formal answer. If you wish, I can later complete that approach.

But let's do it more informally. We put balls into an urn 600 times, where 120 times we put in all white, 120 times we put in 1 white and 3 black, and so on.

How many times roughly did we draw 2 white? If we were drawing from a 2 white 2 black, the probability of 2 white is 12⋅13, so we got 2 white about 120/6=20 times. If we are drawing from a 3 white 1 black, the probability of 2 white is 34⋅23, so we got 2 white about 60 times. Finally, if we drew from an all white, we got 2 white for sure, so 120 times.

The total number of times we got 2 white was 200. Of these times, 120 came from an all white situation. So the probability is 120200=35.

  • -5
This is a simple sounding question that hides a lot of complexity and some assumptions.
We need to compute P(all balls white | drew 2 white balls).
This is a conditional probability so we use Bayes Law.
P(A | B) = P(B | A) * P(A)/ P(B).

Where A = all balls white
B = draw 2 white balls

P(B) is not given. I will assume there are 3 possible worlds: 4 whites, 3 white and 1 non white,
and 2 whites and 2 non-white. I need to also know the probabilities for each of these worlds. I will assume they are equal, the standard assumption if no information is given.

P(B) = P(B| 4W)*P(4W) +P(B| 3W, 1non-white)*P(3W, 1 non-white) + P(B | 2white,2 non-white).

P(B|4W) = 1
P(4W) = 1/3 = P(3W and 2 non) = P(2W and 2 non)

P(B | 3W and 1 non) = 3/4*2/3 = 1/2

P(B | 2W and 1 non) = 2/4*1/3 = 1/6

Putting this all together with Bayes:
P(4W in bag | drew 2 white) = 1* 1/3/ ( 1*1/3 + 1/2*1/3 + 1/6*1/3) = 3/5 assuming I haven't made any arithmetic mistakes.
Read my solution, and then do it yourself to see if you understand the method.
good luck
  • 10
4/4=1
  • -11
A bag contains 4 balls.Two balls are drawn at random, and are found to be white. What is the probability that all balls are white ?
  • 0
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