Transcript Your favorite professional football team (I shall refer to them as the

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-) Shoe 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.
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?