A study investigating the relationship between age and annual medical expenses randomly samples 400400 individuals in a city. It is hoped that the sample will have a similar mean age as the entire population. Complete parts a and b below. a. If the standard deviation of the ages of all individuals in the city is sigmaσequals=1111, find the probability that the mean age of the individuals sampled is within oneone yearyear of the mean age for all individuals in the city. (Hint: Find the sampling distribution of the sample mean age and use the central limit theorem. You don't have to know the population mean to answer this, but if it makes it easier, use a value such as muμequals=3535.)
A study investigating the relationship between age and annual medical expenses randomly samples 400400 individuals in a city. It is hoped that the sample will have a similar mean age as the entire population. Complete parts a and b below. a. If the standard deviation of the ages of all individuals in the city is sigmaσequals=1111, find the probability that the mean age of the individuals sampled is within oneone yearyear of the mean age for all individuals in the city. (Hint: Find the sampling distribution of the sample mean age and use the central limit theorem. You don't have to know the population mean to answer this, but if it makes it easier, use a value such as muμequals=3535.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A study investigating the relationship between age and annual medical expenses randomly samples
mean age as the entire population. Complete parts a and b below.
400400
individuals in a city. It is hoped that the sample will have a similar a. If the standard deviation of the ages of all individuals in the city is
probability that the mean age of the individuals sampled is within
sigmaσequals=1111,
find the oneone
yearyear
of the mean age for all individuals in the city. (Hint: Find the sampling distribution of the sample mean age and use the central limit theorem. You don't have to know the population mean to answer this, but if it makes it easier, use a value such as
muμequals=3535.)
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