What is the probability of AA winning if they toss a coin more times than BB?

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

The probability of player AA winning against player BB when tossing a coin is determined by the number of heads each player obtains. AA tosses the coin 3 times, while BB tosses it 2 times. The calculated probability that AA wins is 1/2, which is derived from the combinations of heads obtained by both players. The analysis shows that if AA has more than 3 tosses while BB has 2, AA's chances of winning increase significantly.

PREREQUISITES
  • Understanding of basic probability concepts
  • Familiarity with conditional probability
  • Knowledge of binomial distribution
  • Ability to perform combinatorial calculations
NEXT STEPS
  • Study the binomial distribution and its applications in probability
  • Learn about conditional probability and its significance in game theory
  • Explore combinatorial methods for calculating probabilities in games
  • Investigate how increasing the number of trials affects probability outcomes
USEFUL FOR

Mathematicians, statisticians, game theorists, and anyone interested in probability calculations and their applications in competitive scenarios.

philipSun
Messages
9
Reaction score
0
Hello everybody. I have a problem, which is following.

AA tosses a coin 3 times and BB 2 times. AA will win, if he gets more heads than BB.
What is the probability that AA wins? Total probability is probably needed in this.

My solution:

first, this formula,
P(b) = P(a) P(b | a ) + P(a^c) P(b | a^c)

and events are;

a = happens, that there will be heads
b = happens, that there will be tails
a^c = a won't happen


In best case for AA;

a = 1-3 * a
b = 0-2 * a

a wins

In best case for BB;

b = 1-2 * a
a = 0-1 * a

now, a won't win.


P(b) = P(a) P(b | a ) + P(a^c) P(b | a^c)

P(2) = P(3) P(2 | 3 ) + P(0) P(2 | 0)

P(2) = P(3) P(2 | 3 ) + P(0) P(2 | 0)


This is as fas as I can go.
 
Physics news on Phys.org
In this case you're interested in the number of heads AA gets compared to the number of heads BB gets. Just remember that if BB gets 0 heads, AA needs to get at least 1 head, and if BB gets 1, AA will have to get 2 or more, and if BB gets 2 heads, AA will have to get all 3 heads.
 
Hi. Yes, that's what I meant with;

a = 1-3 * a
b = 0-2 * a

a wins

In best case for BB;

b = 1-2 * a
a = 0-1 * a.


But maybe you meant more than that.

And I want to do this in this method; P(b) = P(a) P(b | a ) + P(a^c) P(b | a^c) or something like that.
I believe that conditional probability is an issue here.

and my new events are;

a = happens, that AA gets heads
b = happens, that BB gets heads
a^c = a won't happen


Well, I think these are important, but these may be wrong..

P(a) = P(a) P(b | a ) + P(a^c) P(b | a^c)

P(b) = P(b) P(a | b ) + P(b) P(a^c | b )

P(a^c) = P(a^c) P(a | b ) + P(b) P(a^c | b ) ?

Wait a minute, both AA and BB have a 0.5 probability to have heads!

And after that we must do some multiplication, I guess.

I can't solve this problem.
 
For AA, P(3)=1/8, P(2)=P(1)=3/8, p(0)=1/8
For BB, P(2)=1/4, P(1)=1/2, P(0)=1/4

For AA to win - needs more heads than BB (I assume BB wins in case of ties)

P(AA wins-no. heads in bracket) = 1/8[3 heads]+(3/8)(3/4)[2 heads]+(3/8)(1/4)[1 head]=1/2
 
So probability that AA wins is

P(AA wins-no. heads in bracket) = 1/8[3 heads]+(3/8)(3/4)[2 heads]+(3/8)(1/4)[1 head]=1/2
and solution is this. This wasn't easy for me. I want to say; thank you very much!
 
Does it mean that AA will always have equal chance 1/2 of winning no matter how many additional throws he gets more than BB?
 
scalpmaster said:
Does it mean that AA will always have equal chance 1/2 of winning no matter how many additional throws he gets more than BB?
No. If AA has more than 3 tosses, while BB has 2, then AA will win more often.

Each combination needs to be worked out.
 

Similar threads

  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 41 ·
2
Replies
41
Views
8K
  • · Replies 6 ·
Replies
6
Views
1K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 13 ·
Replies
13
Views
2K
Replies
2
Views
4K
  • · Replies 14 ·
Replies
14
Views
6K
  • · Replies 16 ·
Replies
16
Views
3K
  • · Replies 29 ·
Replies
29
Views
4K