Probability Distribution of Geometric Random Variables

In summary, the conversation discusses the probability distribution of the number of slots until a successful coin toss, where the probability of heads decreases with each subsequent slot. The formula for this distribution is given, but it is noted that the probabilities do not sum to one due to the possibility of never getting a head. The conversation also mentions the average number of slots needed to get a head, which is infinity.
  • #1
bincy
38
0
Dear friends,

I have divided the time into slots of fixed size. And i toss a coin of probability of heads 1/2 in the first slot. In the next slot, i toss a coin of probability of head 1/4, and in the i^th slot i toss a coin of prob of head 1/2^i. I do this until i get a head. What is the probability distribution of the no. of slots until a success?If it was fixed Prob of heads in each slot, the prob was as easy as a pie. (Geometric)

Initially i thought that, the distribution is
View attachment 141for i>=2, and for i=1, prob(i=1)=1/2But this prob distribution do not sum up to one( Mathematica says that it is approximately 0.72). Can anyone explain me why it is not true? What is the real ans?I am perplexed. Thanks in advance.
 

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  • #2
Re: To find out the probability distribution of" something like geometric random variables"

Hai,

Thanks for the immediate reply.

But i don't think that your ans is correct.

I considered that, in the previous n-1 slots, none are heads, but in your case it is none are 'all heads' in the previous n-1 slots.
 
  • #3
Re: To find out the probability distribution of" something like geometric random variables"

bincybn said:
Hai,

Thanks for the immediate reply.

But i don't think that your ans is correct.

I considered that, in the previous n-1 slots, none are heads, but in your case it is none are 'all heads' in the previous n-1 slots.

Of course You are right and I deleted my post... very sorry!...

The probability to have a head in the n-th slot and 'all tails' in the previously n-1 slots is, as You wrote,...

$\displaystyle P_{n}=2^{-n}\ \prod_{k=1}^{n} (1-2^{-k})$ (1)

The fact that $\displaystyle \sum_{n=1}^{\infty} P_{n}<1$ is not surprising because the event 'an head sooner or later' is not 'sure' ,i.e. it has not probability 1...

Kind regards

$\chi$ $\sigma$
 
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  • #4
Re: To find out the probability distribution of" something like geometric random variables"

bincybn said:
Dear friends,

I have divided the time into slots of fixed size. And i toss a coin of probability of heads 1/2 in the first slot. In the next slot, i toss a coin of probability of head 1/4, and in the i^th slot i toss a coin of prob of head 1/2^i. I do this until i get a head. What is the probability distribution of the no. of slots until a success?If it was fixed Prob of heads in each slot, the prob was as easy as a pie. (Geometric)

Initially i thought that, the distribution is
View attachment 141for i>=2, and for i=1, prob(i=1)=1/2But this prob distribution do not sum up to one( Mathematica says that it is approximately 0.72). Can anyone explain me why it is not true? What is the real ans?I am perplexed. Thanks in advance.
That the probabilities do not sum to one is not necessarily a deficiency in this case. It is possible with these decreasing probabilities of success that the probability of never getting a head is non-zero.

I think what you have is correct, you just have to add the extra case that the probability of never getting a head is 1 minus the sum of the probabilities that you have.

By the way the formula works for i=1 as well, since the empty product is 1.

CB
 
  • #5
Re: To find out the probability distribution of" something like geometric random variables"

Thanks all of you. I am convinced with your answers.

I have to add one more thing that the avg no. of slots to get a head is infinity.:p
 

FAQ: Probability Distribution of Geometric Random Variables

What is a geometric random variable?

A geometric random variable is a type of discrete random variable that represents the number of trials needed to achieve a success in a sequence of independent trials. It follows the geometric probability distribution, which is used to model the probability of success after a given number of trials.

How is the geometric probability distribution calculated?

The probability of success in a single trial is represented by the parameter p. The probability of achieving a success on the nth trial is then calculated using the formula P(X = n) = (1-p)^(n-1)*p. This formula assumes that the trials are independent and that p remains constant throughout the trials.

What is the expected value of a geometric random variable?

The expected value, or mean, of a geometric random variable is calculated by dividing 1 by the probability of success in a single trial (p). This means that the expected value of a geometric random variable is equal to 1/p.

Can the geometric probability distribution be used for continuous variables?

No, the geometric probability distribution is only used for discrete random variables, meaning that the possible values of the variable are countable and finite. It cannot be used for continuous variables, which have an infinite number of possible values.

What are some real-world applications of the geometric probability distribution?

The geometric probability distribution can be used to model real-world scenarios such as the number of attempts needed to win a game of chance, the number of trials needed to get a successful outcome in a medical test, or the number of attempts needed to successfully guess a password. It is also commonly used in quality control and reliability analysis in manufacturing processes.

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