Verify and Explain Binomial R.V. Identities

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Discussion Overview

The discussion revolves around verifying and explaining identities related to binomial random variables, specifically focusing on the relationships between two binomial distributions with parameters (n,p) and (n,1-p). The scope includes mathematical reasoning and exploration of binomial properties.

Discussion Character

  • Mathematical reasoning
  • Exploratory
  • Technical explanation

Main Points Raised

  • Some participants note that the terms of the binomial distributions (n,p) and (n,1-p) are the same but in opposite order.
  • There is a discussion about how the complementarity of p and 1-p relates to the identities being verified.
  • One participant proposes that the probability P{Y>=n-k} can be expressed as a sum of probabilities from Y=n-k to Y=n, which corresponds to terms from X.
  • Another participant suggests that the relationship between the probabilities can be understood through properties of combinations, particularly in relation to Pascal's triangle.
  • There is a request for clarification on how to derive certain equalities between probabilities of X and Y, particularly in the context of summing terms.

Areas of Agreement / Disagreement

Participants generally agree on the validity of part b of the identities, while part a remains under discussion with varying levels of understanding and clarity about the derivation of the probabilities involved.

Contextual Notes

Some participants express uncertainty about specific steps in the derivation of the identities, particularly regarding the summation of probabilities and the properties of combinations. There is also a lack of consensus on the clarity of explanations provided.

Who May Find This Useful

This discussion may be useful for individuals studying probability theory, particularly those interested in binomial distributions and their properties.

knowLittle
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If X and Y are binomial random variables with respective parameters (n,p) and (n,1-p), verify and explain the following identities:
a.) P{X<=i}= P{Y>=n-i};
b.) P{X=k}= P{Y=n-k}

Relevant Equations:
P{X=i}=nCi *p^(i) *(1-p)^(n-i), where nCi is the combination of "i" picks given "n".

Distribution function
##p\left\{ x\leq i\right\} =\sum _{k=0}^{i}\left( n_{k}\right) p^{k}\left( 1-p\right) ^{n-k}
##, where n_k is ## (_{k}^{n})
##
Solution:
I don't know, how to start the problem. Please, help.
 
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If you examine the terms of the binomial you will see that the terms of (n,p) and (n,1-p) are the same except they are in opposite order from each other..
 
What do you mean by opposite order?
 
I know that * p and 1-p * are complement of each other, but how does this help me?
 
knowLittle said:
What do you mean by opposite order?

Term of index k for (n,p) (a) = term of index n-k for (n,1-p) (b). As a result the problems you are addressing involve terms from (n,p) being equal to the corresponding (opposite order) terms in (n,1-p).

(a) {n!/[k!(n-k)!]}pk(1-p)n-k

(b) {n!/[(n-k)!k!]}(1-p)n-kpk

Notice that (a) and (b) are exactly the same.
 
From what I posted originally:
If X and Y are binomial random variables with respective parameters (n,p) and (n,1-p), verify and explain the following identities:
a.) P{X<=i}= P{Y>=n-i};
b.) P{X=k}= P{Y=n-k}

I have proven part b.) and yes it's the same.
How do I prove part a.)? Particularly, P{Y>=n-i}.

I know that
P{Y>=n-i}=1-P{Y=0}-... up until Y=**A number lesser than (n-i)-1**

Please, help.
 
For part a, the X probability is gotten by adding all the terms from the beginning to k, while the Y probability is gotten by adding all the terms from n-k to the end. Since these terms match term by term, the sums match.
 
mathman said:
...the Y probability is gotten by adding all the terms from n-k to the end. Since these terms match term by term, the sums match.

What do you mean by " the end"?
I know that P{Y>=n-k} has to be described as
1-P{Y=0}-...-P{Y=n-k-1}

Could you develop further on what you said?
 
P(Y≥n-k) = P(Y=n-k) + P(Y=n-k+1) + ... + P(Y=n).

P(Y=n-k) = P(X=k), P(Y=n-k+1) = P(X=k-1), ..., P(Y=n) = P(X=0).

Therefore P(Y≥n-k)=P(X≤k).
 
Last edited:
  • #10
I understand:
mathman said:
P(Y≥n-k) = P(Y=n-k) + P(Y=n-k+1) + ... + P(Y=n).

But, I do not understand this part:
mathman said:
P(Y=n-k) = P(X=k), P(Y=n-k+1) = P(X=k-1), ..., P(Y=n) = P(X=0).
Therefore P(Y≥n-k)=P(X≤k).

I know by one of the identities that P(Y=n-k) = P(X=k), but I don't know from where do you get the rest.
 
  • #11
knowLittle said:
I understand:I know by one of the identities that P(Y=n-k) = P(X=k), but I don't know from where do you get the rest.

Use the property of the combination. In other words what are the properties of combinations in pascal's triangle? (What is nCk vs nC[n-k] and similar properties in relation to your question)?
 
  • #12
knowLittle said:
I understand:


But, I do not understand this part:


I know by one of the identities that P(Y=n-k) = P(X=k), but I don't know from where do you get the rest.
Replace k, term by term, by k-1, k-2, etc. until you get to 0.
 

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