/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q.4.23 Consider a random collection of ... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Consider a random collection of nindividuals. In approximating the probability that no 3of these individuals share the same birthday, a better Poisson approximation than that obtained in the text (at least for values of nbetween 80and 90) is obtained by letting Eibe the event that there are at least 3 birthdays on dayi,i=1,...,365.

(a) Find PEi.

(b) Give an approximation for the probability that no3individuals share the same birthday.

(c) Evaluate the preceding when n=88(which can be shown to be the smallest value ofnfor which the probability exceeds.5).

Short Answer

Expert verified

(a)PEi=1-e-n/365-n365e-n/365-(n/365)22e-n/365

(b)P(Y=0)=e-365p

(c)P(Y=0)≈0.5

Step by step solution

01

Step 1:Given information(part a)

Given in the question that consider a random collection of nindividuals. In approximating the probability that no 3of these individuals share the same birthday, a better Poisson approximation than that obtained in the text (at least for values of nbetween 80 and 90 ) is obtained by letting Eibe the event that there are at least 3 birthdays on day i,i=1,…,365.

02

Step 2:Explanation

Define random variable Xthat marks the number of people that have birthday on ithday. Hence, the event Eiis equivalent to the event X≥3. We have that

PEi=P(X≥3)=1-P(X=0)-P(X=1)-P(X=2)

Observe that Xcan be approximated with Poisson distribution with parameter λ=n365. Hence

P(X=0)=e-n/365,P(X=1)=n365e-n/365,P(X=2)=(n/365)22e-n/365

thus,

PEi=1-e-n/365-n365e-n/365-(n/365)22e-n/365

03

Step 3: Final answer

PEi=1-e-n/365-n365e-n/365-(n/365)22e-n/365

04

Step 4:Given information(part b)

Given in the question that,consider a random collection of n individuals. In approximating the probability that no 3of these individuals share the same birthday, a better Poisson approximation than that obtained in the text (at least for values of n between 80 and 90) is obtained by letting Eibe the event that there are at least 3 birthdays on dayi,i=1,...,365.

05

Step 5:Explanation

Define pas the number calculated in (a). DefineYas the random variable that counts the number of days that have the property that at least three people have birthday on that day. Hence, Y~Binom(365,p), which can be approximated with Pois (365p). The event that no three people share birthday is equivalent to the event Y=0. Hence

P(Y=0)=e-365p

06

Step 6: Final answer

P(Y=0)=e-365p

07

Step 7:Given information(part c)

Given in the question that,consider a random collection of nindividuals. In approximating the probability that no3 of these individuals share the same birthday, a better Poisson approximation than that obtained in the text (at least for values of n between80 and90) is obtained by letting Ei be the event that there are at least 3 birthdays on day i,i=1,...,365.

08

Step 8: Explanation

We are required to calculate P(Y=0)for n=88. Let's find pfor that n. We have that

p=1-e-88/365-88365e-88/365-(88/365)22e-88/365=1.9515·10-3

So we have

P(Y=0)=e-365p=e-0.7122965≈0.5

09

Step 9:Final answer

P(Y=0)≈0.5

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Suppose that the number of events that occur in a specified time is a Poisson random variable with parameter λ. If each event is counted with probability p, independently of every other event, show that the number of events that are counted is a Poisson random variable with parameter λp. Also, give an intuitive argument as to why this should be so. As an application of the preceding result, suppose that the number of distinct uranium deposits in a given area is a Poisson random variable with parameter λ=10. If, in a fixed period of time, each deposit is discovered independently with probability 150, find the probability that

(a) exactly ,

(b) at least 1, and

(c) at most 1deposit is discovered during that time.

A purchaser of transistors buys them in lots of 20. It is his policy to randomly inspect 4 components from a lot and to accept the lot only if all 4 are nondefective. If each component in a lot is, independently, defective with probability .1, what proportion of lots is rejected?

Suppose that the number of accidents occurring on a highway each day is a Poisson random variable with parameter λ = 3.

(a) Find the probability that 3 or more accidents occur today.

(b) Repeat part (a) under the assumption that at least 1 accident occurs today.

If E[X] = 1 and Var(X) = 5, find

(a) E[(2 + X)2];

(b) Var(4 + 3X).

Suppose that a die is rolled twice. What are the possible values that the following random variables can take on:

(a) the maximum value to appear in the two rolls;

(b) the minimum value to appear in the two rolls;

(c) the sum of the two rolls;

(d) the value of the first roll minus the value of the second roll?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.