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Suppose that in Problem 7.70, we continue to flip the coin until a head appears. Let Ndenote the number of flips needed. Find

(a)P{Ni},i1

(b)P{N=i};

(c)E[N]

Short Answer

Expert verified

a) The value of P{Ni},i1is P[Ni]=1i;i=0,1,2,.,n

b) The value of P{N=i}is P[N=i]=1(i)(i+1);i=0,1,2,,n

c) The value ofE[N]is.

Step by step solution

01

Given Information (Part a)

Flip the coin until a head appears.

Number of flips needed =N

P{NI},i1=?

02

Explanation (Part a) 

We have,

P[N=i]=01i10p(1p)i1dp

=01p(1p)i1dp

localid="1647430523751" =(1)!(i1)!(2+i1)!

localid="1647429441069" =(i1)!(i+1)!

=1i(i+1)

P[Ni]=x=i1x(x+1)

localid="1647429510678" =x=i1x1x+1

=1i

HenceP[Ni]=1i;i=0,1,2,.,n

03

Final Answer

Hence, the value ofP{Ni},i1isP[Ni]=1i;i=0,1,2,,n

04

Given Information (Part b)

Flip the coin until a head appears.

Number of flips needed=N

P{N=i}=?

05

Explanation (Part b) 

We have,

P[N=i]=P[Ni]P[N>i]

=P[Ni]P[Ni+1]

=1i1i+1

localid="1647429927042" =1i(i+1)

P[N=i]=1(i)(i+1);i=0,1,2,.,n

06

Final Answer (Part b) 

Hence, the value of E[N]is.

07

Given Information (Part c)

Flip the coin until a head appears.

Number of flips needed =N

The Value ofE[N]=?

08

Explanation (Part c) 

E(N)=i=0P[Ni]

role="math" localid="1647431080445" =i=01i

=

09

Final Answer (Part c) 

Therefore, the value ofE[N]=

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Most popular questions from this chapter

The number of accidents that a person has in a given year is a Poisson random variable with mean λ̣ However, suppose that the value of λchanges from person to person, being equal to 2for 60percent of the population and 3for the other 40percent. If a person is chosen at random, what is the probability that he will have

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LetU1,U2,...be a sequence of independent uniform(0,1)random variables. In Example 5i, we showed that for 0x1,E[N(x)]=ex, where

N(x)=minn:i=1nUi>x

This problem gives another approach to establishing that result.

(a) Show by induction on n that for 0<x10 and all n0

P{N(x)n+1}=xnn!

Hint: First condition onU1and then use the induction hypothesis.

use part (a) to conclude that

E[N(x)]=ex

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