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An urn has n white and m black balls that are removed one at a time in a randomly chosen order. Find the expected number of instances in which a white ball is immediately followed by a black one.

Short Answer

Expert verified

The expected number of instances in which a white ball is immediately followed by a black one.

The expected number of instances isnmn+m

Step by step solution

01

Given Information

An urn has n white and m black balls that are removed one at a time in a randomly chosen order.

02

Explanation

Assume that an urn has n white and m black balls that are removed one at a time in a randomly chosen order. Let X represents the number of instances in which a white ball is immediately followed by a black one, and let Ej,1≤j≤n+m-1, denote the event:

Ej="jth ball is white,(j+1)th ball is black"

Then

P{Ej}=

P{jth ball is white}P{(j+1)th ball is black∣jth ball is white}=

(nn+m)(mn+m−1)

03

Explanation

If we define variablesIjin the following way:

Ij={1,ifEjoccurs0,ifEjdoes not occur

then

X=∑j=1n+m−1Ij

and therefore the expected number of instances in which a white ball is immediately followed by a black one is

E[X]=E[∑j=1n+m−1Ij]=∑j=1n+m−1E[Ij]=∑j=1n+m−1P{Ej}

=∑j=1n+m−1(nn+m)(mn+m−1)

=(n+m−1)[(nn+m)(mn+m−1)]

=nmn+m

04

Step 4: Final Answer

The expected number of instances in which a white ball is immediately followed by a black one.

=nmn+m

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Most popular questions from this chapter

Let X1,...be independent random variables with the common distribution functionF, and suppose they are independent of N, a geometric random variable with a parameter p. Let M=max(X1,...,XN).

(a) FindP{M…x}by conditioning onN.

(b) FindP{M…x|N=1}.

(c) FindP{M…x|N>1}

(d) Use (b) and (c) to rederive the probability you found in (a)

For a group of 100 people, compute

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(b) the expected number of distinct birthdays.

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Xi,Yjsuch that X=∑i=110 Xi,Y=∑j=18 Yj

(b) by conditioning (on either X or Y) to determineE[XY]

In the text, we noted that

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when the Xiare all nonnegative random variables. Since

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whenever X(t),0≤t<∞,are all nonnegative random

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Hint: Define, for each nonnegative t, the random variable

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role="math" localid="1647348183162" X(t)=1ift<X\\0ift≥X

Now relate4q

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Suppose that X1and X2 are independent random variables having a common mean μ. Suppose also that VarX1=σ12 and VarX2=σ22. The value of μ is unknown, and it is proposed that μ be estimated by a weighted average of X1 and X2. That is, λX1+(1-λ)X2 will be used as an estimate of μ for some appropriate value of λ. Which value of λ yields the estimate having the lowest possible variance? Explain why it is desirable to use this value ofλ.

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