5. A company that manufactures steel wires guarantees that the mean breaking strength (in kilonewtons) of the wires is greater than 50. They measure the strengths for a sample of wires and test H0: µ...

5. A company that manufactures steel wires
guarantees that the mean breaking strength (in
kilonewtons) of the wires is greater than 50. They
measure the strengths for a sample of wires and
test H0: µ = 50 versus H1: µ > 50
a. If a Type I error is made, what conclusion will be
drawn regarding the mean breaking strength?
b. If a Type II error is made, what conclusion will be
drawn regarding the mean breaking strength?
6. Data from the National Association of Realtors
indicates that the mean price of a home in
Denver, from April through June of 2012 was
260.7 thousand dollars. A random sample of 50
homes sold in 2013 had a mean price of 290.5
thousand dollars.
a. Assume the population standard deviation is
σ=$150,000. Can you conclude that the mean
price in 2013 differs from the mean price in April
through June of 2012? Use a 5% significance
level.
b. Following is a boxplot of the data. Explain why it
is unreasonable to assume that the population is
approximately normally distributed.
c. Explain why the assumptions for the hypothesis
test are satisfied even though the population is not
normal.

I need to know how to do this on a Ti84

Thank you.