n any year, the weather can infict storm damage to a home. From year to year, the damage is random. Let Y denote the dollar value of damage in any ven year. Suppose that in 95% of the years Y = $0, but in 5% of the years Y= $19,801. The mean of the damage in any year is $(Round your response to two decimal places.) The standard deviation of the damage in any year is S (Round your response to two decimal places.) Consider an "insurance pool of 100 people whose homes are sufficiently dispersed so that, in any year, the damage to different homes can be viewed as independenty distributed random variables. Let Y denote the average damage to these 100 homes in a year. EY), the expected value of the average damage Y.is S (Round your response to two decimal places.) The probability that Y exceeds $2.000 is (Round your response to four decimal places.)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
In any year, the weather can infict storm damage to a home. From year to year, the damage is random. Let Y denote the dollar value of damage in any
given year. Suppose that in 95% of the years Y= $0, but in 5% of the years Y= $19,801.
The mean of the damage in any year is $ (Round your response to two decimal places.)
The standard deviation of the damage in any year is $ (Round your response to two decimal places.)
Consider an "insurance pool" of 100 people whose homes are sufficiently dispersed so that, in any year, the damage to different homes can be viewed
as independently distributed random variables. Let Y denote the average damage to these 100 homes in a year.
EY), the expected value of the average damage Y, is s (Round your response to two decimal places.)
The probability that Y exceeds $2.000 isO (Round your response to four decimal places.)
Transcribed Image Text:In any year, the weather can infict storm damage to a home. From year to year, the damage is random. Let Y denote the dollar value of damage in any given year. Suppose that in 95% of the years Y= $0, but in 5% of the years Y= $19,801. The mean of the damage in any year is $ (Round your response to two decimal places.) The standard deviation of the damage in any year is $ (Round your response to two decimal places.) Consider an "insurance pool" of 100 people whose homes are sufficiently dispersed so that, in any year, the damage to different homes can be viewed as independently distributed random variables. Let Y denote the average damage to these 100 homes in a year. EY), the expected value of the average damage Y, is s (Round your response to two decimal places.) The probability that Y exceeds $2.000 isO (Round your response to four decimal places.)
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman