Conditional probability(black & white ball game)

In summary: The probability of drawing two black balls (no replication) would be: Pr(B2) = Pr(B1)*Pr(B2|B1) Thanks for your help.
  • #1
Cylab
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0
A Box contains black balls and white balls, with 1/2 of each. Now we add black balls, with 1/8 of total. What is probability of drawing 1 black, 2 black and 3 black balls respectively (no replication)?

Analysis:
Drawing one black ball : 1/8*1/2+1/2 = 9/16.
Thinking of conditional probability, we simply consider what is left after first one drawn and multiply its probability to the first one. However, here, we only know probability of black ball(9/16). Please shed some light, what is probability of the second ball drawn is black, given first one is black ball? , and so on...

Thanks for your attention.
 
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  • #2
I don't think you have the probability of drawing one ball correct. Assume there were [itex]n[/itex] balls in the box initially and proceed.
 
  • #3
In other words, maybe we can also say; Pr(Black) = 9/16, and Pr(White)=7/16 in the box. Then what is probability of drawing two black balls (no replication)?
  Analysis:
, the probability of drawing 1st black ball is 9/16, I just do not know how to calculate of drawing the 2nd black one, given 1st one is black ball. It should be: Pr(B1&B2) = Pr(B1) * Pr(B2|B1)

Please share your ideas! or hint, anything will be appreciated extremely.
 
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  • #4
Cylab said:
A Box contains black balls and white balls, with 1/2 of each. Now we add black balls, with 1/8 of total. What is probability of drawing 1 black, 2 black and 3 black balls respectively (no replication)?

Analysis:
Drawing one black ball : 1/8*1/2+1/2 = 9/16.
Thinking of conditional probability, we simply consider what is left after first one drawn and multiply its probability to the first one. However, here, we only know probability of black ball(9/16). Please shed some light, what is probability of the second ball drawn is black, given first one is black ball? , and so on...

Thanks for your attention.

The probability of drawing black on the first draw does not depend on the number of balls, but that is not true for drawing the second or third black ball; that is, the probabilities of getting black on the second and on the third draw WILL depend on the number of balls you start with. Given the description, the only possible black/white numbers (B,W) are (5,4), (10,8), (15,12), etc. In each of these cases you can work out the answer to your question, but the answers will be a little bit different for different (B,W) combinations.

RGV
 
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  • #5
Ray Vickson said:
Given the description, the only possible black/white numbers (B,W) are (5,4), (10,8), (14,12)
(14,12) should be (15,12). The b/w numbers will be a multiple of (5,4).
 
  • #6
rcgldr said:
(14,12) should be (15,12). The b/w numbers will be a multiple of (5,4).

Right: that was a typo, now fixed.

RGV
 
  • #7
Could you please explain how did you come up with such rule?
The Pr(B)=9/16 . But the multiple of (5,4), it is 5/9, 10/18, 15/27 .
Did I fail to understand something?
 
  • #8
Cylab said:
Could you please explain how did you come up with such rule?
The Pr(B)=9/16 . But the multiple of (5,4), it is 5/9, 10/18, 15/27 .
Did I fail to understand something?

Could you please explain what you mean by "such rule"? What rule?

A lot depends on your interpretation of the question "What is probability of drawing 1 black, 2 black and 3 black balls respectively (no replication)?"

Does this mean the following three questions? (1) draw 1 ball; what is the probability it is black? (2) Draw two balls; what is the probability they are both black? (3) Draw three balls; what is the probability all three are black? In (1) the probability would be 5/9 for any allowed (B,W) combination. However, the answers to (2) and (3) would vary among the allowed combinations.

Or, does the question mean: we draw three balls. What are the probabilities for (i) exactly 1 black ball; (ii) exactly two black balls; or (iii) all three are black. Obviously, the probability of one black in this case would not be 5/9, but would now depend on the applicable (B,W) values.

RGV
 
  • #9
Let me clarify the question!
A Box contains black balls and white balls, with 1/2 of each. Now we add another black balls into the box (that already has black and white ball with same probabilities), with 1/8 of total (which means if the box has 40(black)+40(white), then we add 10 black ball into it).
Now after the ADDING, the Pr(B)=9/16 (it is easy to calculate, right?). Now the question is what is probability of drawing 2nd black ball, given 1st one is black?
 
  • #10
Cylab said:
Let me clarify the question!
A Box contains black balls and white balls, with 1/2 of each. Now we add another black balls into the box (that already has black and white ball with same probabilities), with 1/8 of total (which means if the box has 40(black)+40(white), then we add 10 black ball into it).
Now after the ADDING, the Pr(B)=9/16 (it is easy to calculate, right?). Now the question is what is probability of drawing 2nd black ball, given 1st one is black?

If there are originally 4 black and 4 white, after adding there will be 5 black and 4 white, so P(B) = 5/9 on the first draw.

If there are originally 8 black and 8 white, after adding there will be 10 black and 8 white, so P(B) = 10/18 = 5/9 on the first draw.

For ANY multiple of (B,W) = (5,4), the probability P(B) = 5/9 on the first draw. However, for the second and higher draws the probabilities of additional blacks will vary between the different cases, as I have already said more than once.

RGV
 

Related to Conditional probability(black & white ball game)

1. What is conditional probability?

Conditional probability is a concept in probability theory that measures the likelihood of an event occurring, given that another event has already occurred. It takes into account the context and conditions in which an event takes place.

2. How is conditional probability calculated?

Conditional probability is calculated by taking the probability of the intersection of two events and dividing it by the probability of the first event. Mathematically, it is represented as P(A|B) = P(A∩B)/P(B), where P(A|B) is the conditional probability of event A given that event B has occurred.

3. What is the "black and white ball game" and how does it relate to conditional probability?

The "black and white ball game" is a common example used to demonstrate conditional probability. In this game, there are two bags filled with black and white balls. A player is asked to draw a ball from one of the bags and guess its color. The probability of getting a black or white ball depends on which bag is chosen, making it a perfect example of conditional probability.

4. Can conditional probability be applied in real-life situations?

Yes, conditional probability is widely used in various fields, including economics, finance, and healthcare. For example, in healthcare, conditional probability can be used to estimate the likelihood of a patient having a particular disease based on their symptoms and medical history.

5. How does conditional probability differ from regular probability?

Regular probability deals with the likelihood of an event occurring without any context or conditions. On the other hand, conditional probability takes into account the context and conditions in which an event takes place. In simple terms, regular probability is the probability of an event occurring, whereas conditional probability is the probability of an event occurring given that another event has already occurred.

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