Why is there a probability paradox in this bag of balls?

In summary, the original bag of two balls contained one black and one white ball. The bag with one black and one white ball could contain any of three possible contents, each with a probability of 1/3. When we added a black ball to the bag, the contents became BBB. This shows that the probability of drawing a black ball is 1/2.
  • #1
soroban
194
0

A bag contains two balls.
Either ball can be black or white.

Without drawing any balls, determine the colors of the balls.Solution

The bag could contain any of three contents, each with probabiity [tex]\tfrac{1}{3}.[/tex]

. . [tex]\boxed{B B} \qquad \boxed{BW} \qquad \boxed{WW}[/tex]

Add a black ball to the bag.
The resulting contents are

. . [tex]\boxed{BB \,B} \qquad \boxed{BW\,B} \qquad \boxed {WW\,B}[/tex]Consider the probability of drawing a black ball.

Then: .[tex]P(B) \;=\;(\tfrac{1}{3})(\tfrac{3}{3}) + (\tfrac{1}{3})(\tfrac{2}{3}) + (\tfrac{1}{3})(\tfrac{1}{3}) \;=\;\tfrac{6}{9} \;=\;\tfrac{2}{3}[/tex]Since the probability of drawing a black ball is [tex]\tfrac{2}{3}[/tex].
. . there must be 2 black and 1 white ball in the bag.

Therefore, before the black ball was added,
. . the bag must have contained one black and one white ball.
 
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  • #3
The trick is in your first statement,
soroban said:

The bag could contain any of three contents, each with probabiity [tex]\tfrac{1}{3}.[/tex]
.

There are four equally likely outcomes, WW, WB, BW, and BB. Each has probability 1/4.
 
  • #4
HallsofIvy said:
The trick is in your first statement,
.

There are four equally likely outcomes, WW, WB, BW, and BB. Each has probability 1/4.
his makes no difference.

We still add one black ball.

[tex]\text{We have: }\;WW\!B,\;W\!BB,\;BW\!B,\;BBB [/tex]

[tex]\text{Then we have:}[/tex]
. . [tex]\begin{array}{cccccc}
P(B|WW\!B) &=& \frac{1}{4}\cdot \frac{1}{3} &=& \frac{1}{12} \\
P(B|W\!BB) &=& \frac{1}{4} \cdot \frac{2}{3} &=& \frac{1}{6} \\
P(B|BW\!B) &=& \frac{1}{4} \cdot \frac{2}{3} &=& \frac{1}{6} \\
P(B|BBB) &=& \frac{1}{4} \cdot \frac{3}{3} &=& \frac{1}{4} \end{array}[/tex]

[tex]\text{Therefore: }\;P(B) \;=\;\tfrac{1}{12} + \tfrac{1}{6}+\tfrac{1}{6} + \tfrac{1}{4} \;=\;\frac{2}{3}[/tex]

THe "proof" still holds . . . LOL!
 
  • #5
Nice conundrum! :)

I believe we've found the expectation, or average if you will, of the number of white and black balls.
 
  • #6

Hello, ILS!

You've discovered the truth behind this apparent paradox.
This is indeed a matter of expectation, not actual content.

Consider the original bag with two balls
The bag could contain any of three contents, each with probability [tex]\tfrac{1}{3}.[/tex]
. . [tex]\boxed{BB}\quad \boxed{BW} \quad \boxed{WW}[/tex]

Consider the probability of drawing a black ball.,

[tex]P(B) \;=\;\left(\tfrac{1}{3}\right)\left(\tfrac{2}{2}\right) + \left(\tfrac{1}{3}\right)\left(\tfrac{1}{2}\right) + \left(\tfrac{1}{3}\right)\left(\tfrac{0}{2}\right) \;=\; \frac{1}{2} [/tex]

We would NOT conclude that the bag must contain one black and one white ball.
But that is exactly what we did with the bag with three balls.
 

What is a probability paradox?

A probability paradox is a situation in which the outcome of an event seems to defy common sense or intuition, despite being supported by mathematical probability theory.

What are some examples of probability paradoxes?

One example is the Monty Hall problem, in which a contestant on a game show is presented with three doors and must choose one. The host then reveals a door that does not contain the prize, and the contestant is given the opportunity to switch their choice. Despite seeming to have an equal chance of winning, it is actually more advantageous to switch doors.

How can probability paradoxes be resolved?

Some probability paradoxes can be resolved by carefully examining the assumptions and conditions of the problem. In some cases, the paradox may arise from a misunderstanding of the concept of independence in probability.

Why are probability paradoxes important?

Probability paradoxes can challenge our understanding of probability and highlight the limitations of our intuition. They can also have practical applications in fields such as statistics, where understanding and addressing paradoxes can lead to more accurate analyses.

Can probability paradoxes be avoided?

While it may not be possible to completely avoid probability paradoxes, understanding the principles of probability and critically examining assumptions can help mitigate their occurrence. Additionally, seeking multiple perspectives and utilizing statistical tools can help address and resolve paradoxes when they do arise.

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