Exploring the Possibility Pyramid: A Simple Model for Understanding Probability

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Discussion Overview

The discussion explores the concept of a "possibility pyramid" as a model for understanding probability, particularly in relation to coin flipping and binomial coefficients. It examines the mathematical patterns that emerge from this model and its connections to established mathematical concepts.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant introduces the idea of a possibility pyramid related to coin flipping, outlining the probabilities associated with different numbers of flips.
  • Another participant identifies the structure as Pascal's triangle, noting that it represents binomial coefficients and relates to the number of ways to choose heads/tails sequences.
  • A subsequent participant questions the relationship between binomial coefficients and the concept of possibility in coin flipping.
  • Another participant confirms the connection between binomial coefficients and the sequences generated from coin flips, explaining how the coefficients correspond to the number of specific outcomes in the expansion of binomial expressions.

Areas of Agreement / Disagreement

Participants generally agree on the relationship between the possibility pyramid and Pascal's triangle, as well as the relevance of binomial coefficients to the discussion of probability in coin flipping. However, the discussion remains exploratory without a definitive conclusion on the broader implications of these connections.

Contextual Notes

The discussion does not resolve the implications of the possibility pyramid beyond its mathematical representation and does not address potential limitations or assumptions inherent in the model.

Who May Find This Useful

Individuals interested in probability theory, combinatorics, and mathematical modeling may find this discussion relevant.

Sariaht
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a charge can be either negative or positive, computers only understand once and zeroes and for every good thing there is a bad thing.

Imagine you have a coin with one 1-side and one 0-side. If you do not flip there is a 100% chance that you won't get anything. If you flip once there is a 50% chance that you will get a 1 and 50% chance that you will get a 0.

If you flip twice there is a 25% chance that you will get two 0, 25% chance that you get two 1 and 50% chance that you will get one 0 and one 1.

This is the beginning of a possibility pyramid, it looks like this:

------------------------------------1----------------------------0 flips
-------------------------------1/2-----1/2-----------------------1 flip
---------------------------1/4-----2/4-----1/4-------------------2 flips
-----------------------1/8-----3/8-----3/8-----1/8---------------3 flips
------------------1/16----4/16----6/16----4/16----1/16----------4 flips
--------------1/32----5/32---10/32----10/32---5/32----1/32------5 flips

What is awesome with this pyramid is that there is a pattern in in it. Does this possibility pyramid have a name? It's wonderful how it makes hard math so simple.
 
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This is Pascal's triangle, only you've multiplied the nth row by 2^(-n). (the top row is n=0, the zeroth row)

It gives the binomial coefficients, which are also the number of ways of choosing a heads/tails sequence. e.g. the row 1 4 6 4 1 tells us [tex](x+y)^4=1x^4y^0+4x^3y^1+6x^2y^2+4x^1y^3+1y^4[/tex].
 
thanx, might binomial coefficients have something to do with possibility in coin flipping?
 
Yes.

Let's look at where the coefficient of [tex]x^3y^1[/tex] in [tex](x+y)^4=(x+y)(x+y)(x+y)(x+y)[/tex] comes from. When you expand out these brackets, you have a choice of picking x or y from each [tex](x+y)[/tex] term. This corresponds to a sequence of x's and y's of length 4, you can think of this as a coin with "x" on one side and "y" on the other. The information encoded in the coefficient of [tex]x^3y^1[/tex] is the number of length 4 sequences with 3 x's and 1 y, namely xxxy, xxyx, xyxx, and yxxx. 4 of them, which is the coefficient of [tex]x^3y^1[/tex] when we expand.

Same idea for all the other coefficients.
 
Perfekt, thank you!
 

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