Calculating Distribution Functions for Four Coin Toss Experiment

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Homework Help Overview

The discussion revolves around calculating distribution functions for an experiment involving the tossing of four coins 32 times. Participants are tasked with counting the occurrences of heads and calculating both measured and expected distribution functions based on the outcomes of the tosses.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the application of the binomial distribution formula for calculating expected outcomes and question the handling of factorials, particularly in cases leading to negative numbers.

Discussion Status

Some participants provide clarifications regarding the factorial calculations and the definitions of variables involved. There is an ongoing exploration of the correct application of the formula, with no explicit consensus reached on the resolution of the negative number issue.

Contextual Notes

Participants note potential confusion regarding the values of C and xj, emphasizing that C should consistently represent the number of coins tossed, which is four, while xj represents the number of heads counted in each trial.

GreyGus
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Homework Statement


For this exercise, four coins are tossed 32 times and the number of heads are recorded for each toss. Each toss falls into one of the following macroscopic states; 0 heads, 1 heads, 2 heads, 3 heads and 4 heads. Suppose the 32 tosses result in the following outcome: 3,2,3,2,2,4,0,3,0,2,0,4,4,2,3,1,2,0,1,3,2,3,1,3,3,2,3,2,3,3,2 and 1. Your task is to count the number of times when 1 heads, 2 heads, ... appears, and to calculate the measured and expected distribution functions.
To calculate the measured distribution function, if nj is the number of counts for jth heads for N trials, then the experimental distribution function is fj=nj/N. For example, the number of counts with zero heads is 4 giving f0=4/32=0.125.
The expected distribution for such an experiment follows a binomial distribution function and is given by
C!/(C-xj)!(xj!)(2^C)
where C is the total number of coins, xj is the number of heads. Thus for the case of 0 heads, f0=4!(4−0)!0!2^4=1/16=0.0625.


Homework Equations


C!/(C-xj)!(xj!)(2^C)


The Attempt at a Solution


    • C
    • 4
    • 10
    • 11
    3
    • fj
    • 0.125
    • 0.3125
    • 0.34375
    • 0.09375
    • distribution
    • 0.25
    • 0.043945313
    • 0.080566406
    • #NUM!
    • Head number
    • 1
    • 2
    • 3
    • 4

For the last one the factorial is for a negative number for it doesn't work.
Please help. Any help would be greatly appreciated.
 
Last edited:
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How are you getting the factorial of a negative number. C is 4 and xj runs from 0 to 4 so C-xj runs from 4 to 0. There are no negative numbers involved.
 
GreyGus said:

Homework Equations


C!/(C-xj)!(xj!)(2^C)
That gives the probability of a toss having xj heads (or tails). Thus 0 heads has a probability of 1/16. If you toss the coins 32 times, the expected number of 0 head tosses is (1/16)(32) = 2. Compare that expected value with the actual number seen in a particular series of tosses.

(I'm not sure how you got a negative number anywhere.)
 
I had a negative number because for the last one I applied the formula and got
(3!)/(3-4)!(4)!(2^3).

I might have posted the problem wrong, for that I apologize. But it's suppose to be four columns, one for the different C's I counted, fj's, expected distribution and the head number I'm suppose to count. Like if it's 2 ok, so how many 2's are there. So that's how I did it and got a negative number.
 
Last edited:
GreyGus said:
I had a negative number because for the last one I applied the formula and got
(3!)/(3-4)!(4)!(2^3).
This makes no sense. Here you have C = 3, meaning you are flipping 3 coins. And you have xj = 4, meaning you are looking for 4 heads! :bugeye:

As far as I can see, you are always flipping four coins at a time, so C is always 4. xj varies from 0 to 4. No negatives.
 

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