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Show how the derivation of the binomial probabilities P{X=i}=nipi(1-p)n-i,i=0,,nleads to a proof of the binomial theorem (x+y)n=i=0nnixiyn-iwhen xand yare nonnegative.

Hint: Let p=xx+y.

Short Answer

Expert verified

Assume the hint and the point that the totality of all possible probabilities must equal one.

Step by step solution

01

Given information

Given that,

The derivation of the binomial probabilities

P{X=i}=nipi(1-p)n-i,i=0,,n

02

Calculation

Define random variable Xthat is Binomial with parameters nand p=xx+y. We know that the totality of all possible probabilities is equal to one, i.e.

1=k=0nnkpk(1-p)n-k

Substitute p=xx+yand 1-p=yx+yto obtain that

1=k=0nnkxx+ykyx+yn-k

Assume out (x+y)in the nominator out of the totality to obtain that

(x+y)n=k=0nnkxkyn-k

So we have proved the binomial theorem.

03

Final answer

We have proved the binomial theorem.

Assume the hint and the point that the totality of all possible probabilities must equal one.

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Most popular questions from this chapter

A certain typing agency employs 2typists. The average number of errors per article is 3when typed by the first typist and 4.2when typed by the second. If your article is equally likely to be typed by either typist, approximate the probability that it will have no errors.

Each of 500 soldiers in an army company independently has a certain disease with probability 1/103. This disease will show up in a blood test, and to facilitate matters, blood samples from all 500 soldiers are pooled and tested.

(a) What is the (approximate) probability that the blood test will be positive (that is, at least one person has the disease)? Suppose now that the blood test yields a positive result.

(b) What is the probability, under this circumstance, that more than one person has the disease? Now, suppose one of the 500 people is Jones, who knows that he has the disease.

(c) What does Jones think is the probability that more than one person has the disease? Because the pooled test was positive, the authorities have decided to test each individual separately. The first i − 1 of these tests were negative, and the ith one—which was on Jones—was positive.

(d) Given the preceding scenario, what is the probability, as a function of i, that any of the remaining people have the disease?

Let Xbe such thatP{X=1}=p=1-P{X=-1}

Find c1such that EcX=1.

Suppose that the distribution function of X given by

F(b)=0    b<0b4    0b<112+b14    1b<21112    2b<31    3b

(a) Find P{X=i},i=1,2,3.

(b) Find P12<X<32.

Here is another way to obtain a set of recursive equations for determining Pn, the probability that there is a string of kconsecutive heads in a sequence of nflips of a fair coin that comes up heads with probability p:

(a) Argue that for k<n, there will be a string of kconsecutive heads if either

1. there is a string of kconsecutive heads within the first n-1flips, or

2. there is no string of kconsecutive heads within the first n-k-1flips, flip n-kis a tail, and flips n-k+1,,nare all heads.

(b) Using the preceding, relate PntoPn-1. Starting with Pk=pk, the recursion can be used to obtain Pk+1, thenPk+2, and so on, up to Pn.

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