Heads or tails? (Question from Feynman lectures)

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Discussion Overview

The discussion revolves around a question related to probability as presented in Feynman's lectures, specifically focusing on the calculation of probabilities using tree diagrams and the combinatorial formula for coin tosses. Participants are exploring the reasoning behind the factorial expressions used in the context of determining the number of ways to achieve a certain number of heads in a series of coin tosses.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant questions the use of k! and (n-k)! in the denominator of the probability formula, suggesting that it should be n! in the denominator and k! in the numerator instead.
  • Another participant clarifies that the question pertains to counting the number of ways to get k heads from n coin tosses and provides the formula ##\frac{n!}{(n-k)! k!}## as the answer.
  • A participant suggests a practical approach by proposing to take a specific example (n = 5) and count the ways to achieve different values of k to see if it aligns with the formula.
  • One participant notes that the lecture in question was actually given by Matt Sands, not Feynman, which may affect the context of the discussion.

Areas of Agreement / Disagreement

Participants express differing views on the factorial expressions used in the probability formula, indicating that there is no consensus on the correct interpretation or application of the formula at this time.

Contextual Notes

Some participants may be missing assumptions related to the combinatorial reasoning behind the formula, and there is a lack of clarity on how the tree diagrams relate to the factorial expressions discussed.

#neutrino
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I have been going through feynmans lectures on probability and have a few questions that i can't answer ; in the part regarding fluctuations he introduces us to tree diagrams(pascals triangle ) and gives an example regarding the toss of a coin
If we consider the no. Of tosses as n and no. Of heads as k then it can be given as
( n) n!
( k ) = ----
k!(n-k)!
I know that n! Represents n factorial and the fact that probability is generally
Given by
Probability = highest estimate of an event
----------------------------
Total no. Of events
However what i don't get is why do we multiply k! By (n-k)! Souldnt it be n! In the denominator and k! In the numerator ?
I know it has something to do with the triangle however unable to figure it out
 
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#neutrino said:
I have been going through feynmans lectures on probability and have a few questions that i can't answer ; in the part regarding fluctuations he introduces us to tree diagrams(pascals triangle ) and gives an example regarding the toss of a coin
If we consider the no. Of tosses as n and no. Of heads as k then it can be given as
( n) n!
( k ) = ----
k!(n-k)!
I know that n! Represents n factorial and the fact that probability is generally
Given by
Probability = highest estimate of an event
----------------------------
Total no. Of events
However what i don't get is why do we multiply k! By (n-k)! Souldnt it be n! In the denominator and k! In the numerator ?
I know it has something to do with the triangle however unable to figure it out
The equation is (n)= n!
(k) -----
k!(
 
The equation is (n)= n!
-----
k!(n-k)!
 
You're actually asking, I think, about how many ways you can get ##k## heads from ##n## coin tosses. And why the answer is ##\frac{n!}{(n-k)! k!}##

You could start by taking ##n = 5##, say, and counting all the ways you can get ##k = 0, 1, 2, 3, 4## and ##5##.

Then see whether that fits the formula, and why.
 
BTW (just in case anyone is interested), this was not Feynman's lecture, but Matt Sands' lecture. Feynman had to go out of town on some business for a week, so Matt Sands gave the lectures that became FLP Vol. I Chapters 5 and 6.
 
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