Question

In: Math

Assume the age of death for all us burials(of persons over 5 years old) is approximately...

Assume the age of death for all us burials(of persons over 5 years old) is approximately normally distributed and the sample mean is 68.84 and the standard deviation is 18.402926789.

Find the age at death such that 1.5% of US burials (of persons over 5 years old) were at least that old.

Find the probability that a burial randomly selected from all US burials (of persons over 5 years old) involved a person at least 30 years old.

Find the probability that a burial randomly selected from all US burials ( of persons over 5 years old) involved a person at most 85 years old.

Solutions

Expert Solution

Here is step by step solution for the given problem. Hope this is useful.

Here it is given that the distribution of the age of death from US population is approximately normal, with a mean of 68.84 and standard deviation 18.402926789.

Consider X be the random variable denoting the age of death. Then X ~ N( 68.84, 18.402926789)

Then define       which is also Normally distributed with mean 0, and standard deviation 1. The cumulative probabilities for different values of Z are tabulated in the z-score tables, that are available in any standard statistical book, or the internet.

We find the required probabilities using Z.

a) To find x, such that P(X>x)=0.015

1.5% US burial were at least of age 108.77 approximately 109.

b) Here the criterion for age is at least 30 so we need the following probability:

i.e.

the probability that for a randomly selected burial the age of death was at least 30 is 98.26%

c) Here the criterion fro age is at most 85, i.e. death at 85 or younger than that. Here we need the following probability:

All the probability values or the z-values for the standard normal distribution are obtained using the z-score table.

i.e. the probability that a US burial randomly selected has the probability 81.01% of involving someone with age 85 or younger.


Related Solutions

Ten years ago, the mean age of death row inmates was 50.4 according to the US...
Ten years ago, the mean age of death row inmates was 50.4 according to the US Dept. of Justice. A sociologist wants to test whether that data is still accurate. He randomly selects 9 death row inmates and finds that their mean age is 34.2 with a standard deviation of 19.1. Use a 0.01 significance level to test the claim that the mean age of death row inmates is now equal to 50.4, which was the mean age ten years...
Assume you are 32 years old and plan to retire in 35 years at age 67....
Assume you are 32 years old and plan to retire in 35 years at age 67. You are currently earning $75,000/year and expect average annual salary increases of 4.0%/year over the next 35 years. You have $0 saved for retirement. You are trying to determine how much money to save (invest) each year in your 401(k) Plan to fund your retirement in order to pay yourself 70% of your final salary each year (that increases with inflation). [Remember this is...
1. In 1989, the average age of inmates on death row was 36.5 years of age,...
1. In 1989, the average age of inmates on death row was 36.5 years of age, according to data obtained from the U.S. Department of Justice. A sociologist believes that the average age of death-row inmates has changed since then. She randomly selects 40 death-row inmates and finds that their mean age is 38.9 years. Assuming that ages of death-row inmates vary with a standard deviation of 8.6 years, a. Provide a point estimate (and the associated standard error) for...
Assume the average age of an MBA student is 34.9 years old with a standard deviation...
Assume the average age of an MBA student is 34.9 years old with a standard deviation of 2.5 years. ​a) Determine the coefficient of variation. ​b) Calculate the​ z-score for an MBA student who is 29 years old. ​c) Using the empirical​ rule, determine the range of ages that will include 99.7​% of the students around the mean. ​d) Using​ Chebyshev's Theorem, determine the range of ages that will include at least 91​% of the students around the mean. ​e)...
Assume the average age of an MBA student is 30.7 years old with a standard deviation...
Assume the average age of an MBA student is 30.7 years old with a standard deviation of 2.2 years. ​a) Determine the coefficient of variation. ​b) Calculate the​ z-score for an MBA student who is 26 years old. ​c) Using the empirical​ rule, determine the range of ages that will include 95​% of the students around the mean. ​d) Using​ Chebyshev's Theorem, determine the range of ages that will include at least 94​% of the students around the mean. ​e)...
In 2002 the mean age of an inmate on death row was 40.7 years with a...
In 2002 the mean age of an inmate on death row was 40.7 years with a standard deviation of 9.6 years. A sample of 32 current death row inmates shows a mean age of 38.9 years. Does this indicate that the mean age of death row inmates is less than in 2002?
In 2002 the mean age of an inmate on death row was 40.7 years with a...
In 2002 the mean age of an inmate on death row was 40.7 years with a standard deviation of 9.6 years. A sample of 32 current death row inmates shows a mean age of 38.9 years. Does this indicate that the mean age of death row inmates is less than in 2002?
The age of all farmers are normally distributed with a mean 48 years old and standard...
The age of all farmers are normally distributed with a mean 48 years old and standard deviation 12 years old. Part A About  % of all farmers are older than 16 years old. (Rounding the percentage to 2 decimal places if possible) Part B About  % of all farmers are younger than 38 years old. (Rounding the percentage to 2 decimal places if possible) Part C About  % of all farmers are between 28 years old and 61 years old. (Rounding the percentage...
The city of Irvine reported that approximately 75% of residents are over the age of 60....
The city of Irvine reported that approximately 75% of residents are over the age of 60. Let X be the number of Irvine residents over the age of 60. From a random sample of 500 Irvine residents, 350 were over the age of 60. What is the sampling distribution of the sample proportion for the sample size of 500? Using the distribution of X from above, what is the probability that at most 350 of the 500 Irvine residents selected...
John, James and Joe are all 35 years old and plan to retire at age 65....
John, James and Joe are all 35 years old and plan to retire at age 65. They expect to live to 90 years old. Upon retirement they would all like to take immediate annual pension payments from their savings at the start of each year. John and James can access a quoted rate of 9% per year with quarterly compounding whilst Joe can access a quoted rate of 11% per annum with semi-annual compounding. a) John has a monthly income...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT