What Is the Probability John Gets More Heads Than Mary?

  • Thread starter Thread starter Ackbach
  • Start date Start date
Click For Summary
SUMMARY

The probability that John gets more heads than Mary when John tosses 6 fair coins and Mary tosses 5 fair coins is determined to be 0.5. This conclusion is based on the analysis of the outcomes as a Bernoulli process with 11 trials, where a "good" outcome is defined as either a head by John or a tail by Mary. The symmetry of the binomial distribution confirms that the likelihood of John achieving more heads than Mary is equal to the probability of the opposite outcome.

PREREQUISITES
  • Understanding of Bernoulli processes
  • Familiarity with binomial distribution
  • Basic probability theory
  • Knowledge of coin toss experiments
NEXT STEPS
  • Study the properties of the binomial distribution in detail
  • Explore advanced probability concepts related to Bernoulli trials
  • Learn about combinatorial analysis in probability
  • Investigate real-world applications of probability theory
USEFUL FOR

Mathematicians, statisticians, educators, and students interested in probability theory and its applications in real-world scenarios.

Ackbach
Gold Member
MHB
Messages
4,148
Reaction score
94
Here is this week's POTW:

-----

John tosses $6$ fair coins, and Mary tosses $5$ fair coins. What is the probability that John gets more "heads" than Mary?

-----

Remember to read the https://mathhelpboards.com/showthread.php?772-Problem-of-the-Week-%28POTW%29-Procedure-and-Guidelines to find out how to https://mathhelpboards.com/forms.php?do=form&fid=2!
 
Physics news on Phys.org
Congratulations to castor28 for his correct solution to this week's POTW, which was Problem 99 in the MAA Challenges. His solution follows:

[sp]Let us call a "good" outcome either a head by John or a tail by Mary. Good / bad outcomes constitute a Bernoulli process with $11$ trials and probability $\dfrac12$.

John will win (get more heads than Mary) if there are $6$ good outcomes out of $11$. Because of the symmetry of the binomial distribution, this will happen with probability $\dfrac12$.[/sp]
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 1 ·
Replies
1
Views
5K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K