Tossing a Fair Coin: Probability Mass Function

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Homework Help Overview

The problem involves tossing a fair coin repeatedly and defining random variables X and Y as the number of tosses before the first head appears in two independent sequences. Participants are tasked with finding the probability mass function of X, calculating various probabilities related to X and Y, and exploring the implications of their symmetry.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the probability mass function for X and question the correctness of their expressions. They explore the closed form for P(X>n) and P(X=Y), expressing uncertainty about evaluating sums and the definitions of variables involved.

Discussion Status

Some participants have provided guidance on the geometric series and the importance of defining variables clearly. There is an ongoing exploration of the relationships between the probabilities, but no explicit consensus has been reached regarding the correctness of the initial attempts.

Contextual Notes

Participants note the expectation for closed form solutions and the potential confusion arising from variable definitions in the context of the geometric distribution.

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Homework Statement



A fair coin is tossed repeatedly and X is the number of tosses before the first head appears. You independently repeat the experiment, and Y is the number of tosses before the first head appears in the second sequence of tosses.
a. Give the probability mass function of X
b. Find P(X>n), for n≥1
c. Find P(X=Y)
d. Find P(X>Y)

Homework Equations



Geometric pmf: p(x) = p(1-p)x-1

The Attempt at a Solution



a. I believe this should be P(X=x) = (1/2)x+1. Is this correct so far?

b. P(X>n) = 1 - P(X≤n) = 1 - \sum \limits_{k=1}^n(1/2)x+1

I feel like a closed form for this is expected. I know there's some kind of formula for sums of powers, but we never looked at it in class. So, I'm wondering if there's another way to do this question.

c. P(X=Y) = \sum \limits_{k=1}^∞(1/2)2x+2

Is this correct? If so, same issue with explicitly evaluating the sum as with b.

d. Since the problem is symmetric with respect to X and Y, presumably the answer is:
P(X>Y) = 0.5*[1-P(X=Y)]
Thus, I need the closed form solution from c. This solution relies on the fact that X and Y have the same distribution. Is there a more general method for this?
 
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Baha oh my head is stupid tonight, it seems. Aside from that, are my answers correct?
 
LastOneStanding said:
Baha oh my head is stupid tonight, it seems. Aside from that, are my answers correct?

Yes, except for your not defining what, exactly, you mean by x and what is its range. You see, x is different in the geometric distribution p(x) = p(1-p)x-1 and in your P(X=x) = (1/2)x+1. Defining what your symbols mean is an important part of the solution process.

RGV
 
Good point, I've let myself get a little sloppy. Thanks Dick and Ray!
 

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