Transcript Your favorite professional football team (I shall refer to

Problem – 1: (Give formulas and show all of your calculations)
Forty percent of all registered voters in a national election are female. If a random
sample of 5 voters is selected:
a-) What is the probability that sample contains 2 female voters?
b-) What is the probability that there are no females in the sample?
c-) What is the probability that every member of selected sample is female?
d-) Determine;
i-) the expected number of the registered female voters in a national election
and
ii-) the standard deviation for the registered female voters in a national election.
Example
A population has a mean of 200 and a standard deviation of 50. A random sample of size
100 will be taken and the sample mean
mean.
x̄ will be used to estimate the the population
a-) What is the expected value of x̄ ?
b-) what is the standard deviation of x̄ ?
c-) Show the sampling distribution of x̄ ?
d-) What does the sampling distribution of x̄ show?
Example
Assume the population standard deviation is σ = 25 . Compute the standard error of
the mean, σx̄ for sample sizes of 50, 100, 150 and 200. What can you say about the
size of the standard error of the mean as the sample size is increased ?
Example
A population has a mean of 200 and a standard deviation of 50. Suppose a random
sample of size 100 is selected and the sample mean x̄ will be used to estimate the
population mean.
a-) What is the probability that the sample mean will be within ± 5 of the population
mean ?
b-) What is the probability that the sample mean will be within ± 10 of the population
mean ?
Example 3:
If a random sample of size 30 is taken from binomial distribution with n=9 and p= 0.5
Q: Find the probability that the sample mean exceeds 5.
Example : Paint Supply
The manager of a paint supply store wants to estimate the actual amount of paint
contained in 1-gallon cans purchased from a nationally known manufacturer. The
manufacturer’s specifications state that the standard deviation of the amount of paint
is equal to 0.02 gallon. A random sample of 50 cans is selected, and the sample mean
amount of paint per 1-gallon can is 0.995 gallon.
A-) Construct a 99% Confıdence Interval estimate for the population mean amount of
paint included in a 1-gallon can
B-) On the basis of these results, do you think that the manager has a right to complain
to the manufacturer? Why?
C-) Must you assume that the population amount of paint per can is normally
distributed here? Explain.
D-) Construct a 95% confidence Interval estimate. How does this change your answer
to (B)?
Exercise - 1
A package-filling process at a Cement company fills bags of cement
to an average weight of µ but µ changes from time to time. The
standard deviation is σ = 3 pounds. A sample of 25 bags has been
taken and their mean was found to be 150 pounds.
Assume that the weights of the bags are normally distributed.
Find the 90% confidence limits for µ.
Exercise - 3
An economist is interested in studying the incomes of consumers in
a particular region. The population standard deviation is known to
be $1,000. A random sample of 50 individuals resulted in an
average income of $15,000.
What is the upper end point in a 99% confidence interval for the
average income?
Exercise - 4
An economist is interested in studying the incomes of consumers in
a particular region. The population standard deviation is known to
be $1,000. A random sample of 50 individuals resulted in an
average income of $15,000.
What is the width of the 90% confidence interval?
Exercise - 5
The head librarian at the Library of Congress has asked her assistant
for an interval estimate of the mean number of books checked out
each day. The assistant provides the following interval estimate:
from 740 to 920 books per day. If the head librarian knows that the
population standard deviation is 150 books checked out per day,
and she asked her assistant for a 95% confidence interval,
approximately how large a sample did her assistant use to
determine the interval estimate?