Probability of Tails on Other Side of Heads Coin Flip

  • Context: Undergrad 
  • Thread starter Thread starter Anger
  • Start date Start date
  • Tags Tags
    Probability
Click For Summary
SUMMARY

The probability of the other side being tails after flipping a coin that shows heads is 1/3, contrary to the commonly accepted answer of 2/3. The discussion revolves around three coins: a two-headed coin (C1), a two-tailed coin (C2), and a normal coin (C3). Given that the result is heads, the possible outcomes are narrowed down to C1 and C3, leading to the conclusion that the probability of the other side being tails is indeed 1/3. The participant expresses frustration over differing interpretations with their professor regarding this probability problem.

PREREQUISITES
  • Understanding of basic probability concepts
  • Familiarity with conditional probability
  • Knowledge of coin flipping scenarios
  • Ability to analyze outcomes in probability problems
NEXT STEPS
  • Study conditional probability in-depth
  • Explore the Monty Hall problem for similar probability concepts
  • Learn about Bayesian reasoning and its applications
  • Review common misconceptions in probability theory
USEFUL FOR

Students studying probability, educators teaching probability concepts, and anyone interested in resolving common misunderstandings in statistical reasoning.

Anger
Messages
3
Reaction score
0
First of all I want to say hello. This is my first time posting on these forums, but they have (well actually YOU have :D) helped me solve certain questions of mine.


For the last week or so, I have been obssessed with a problem that we solved during class.
And I have trouble finding common ground with my professor.

The problem is as following:

We are given three coins: one of them has a head on each side, one of them has a tail on each side, and one "normal" coin with a head on one side and a tail on the other. Now we randomly choose a coin, we toss it and the result is heads.


What is the probability that the other side is tails?

The answer that was given to us is 2/3, I managed to come up with 1/3. Cross-checking my results by using common everyday logic, points out to me, that I am actually right. I really need your opinion on this one.


Let's call the two-headed coin C1, the two-tailed coin C2 and the normal coin C3. I start by accepting that fact that, since the result is heads, the coin we tossed is either coin C1 or coin C3.

Now let's say that C1's heads are respectively H1 and H2. And C2's head is H3 and it's tail is just plain T.

The result of tossing heads implies one of three possibilites:

1) the result is H1 and the other side is H2

2) the result is H2 and the other side is H1

3) the result is H3 and the other side is T



So what am I doing wrong?
 
Physics news on Phys.org


Look at all the possibilities

1) You picked the H-H coin and the result was H
2) You picked the H-H coin and the result was H (the other side)

3) You picked the H-T coin and the result was H
4) You picked the H-T coin and the result was T

5) You picked the T-T coin and the result was T
6) You picked the T-T coin and the result was T (the other side)

Obviously, all these things have probability 1/6 to happen.

You are now given information that the result is H. So we go to the above diagram and we eliminate all results that are T. This gives us

1) You picked the H-H coin and the result was H
2) You picked the H-H coin and the result was H (the other side)

3) You picked the H-T coin and the result was H

We have agreed these 3 things to have equal probability. So 1&2 imply the other side to be H. Thus the other side is H in 2/3 of the cases. The other side is T is 1/3 of the cases.
 


Thank you for your contribution, as I see it now, my real problem is confronting my professor that will not be too fond of me correcting her.
 

Similar threads

  • · Replies 57 ·
2
Replies
57
Views
6K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 20 ·
Replies
20
Views
3K
  • · Replies 6 ·
Replies
6
Views
967
  • · Replies 11 ·
Replies
11
Views
2K
Replies
7
Views
2K
  • · Replies 45 ·
2
Replies
45
Views
6K
  • · Replies 41 ·
2
Replies
41
Views
8K
  • · Replies 18 ·
Replies
18
Views
3K