Part 1 (Confidence Interval):
· Calculate a 95% confidence interval around your sample mean.
· Is the claimed mean inside your confidence interval?
· What does your result mean, in terms of the company's claim?
Part 2 (Two-tail test):
· List the null and alternative hypotheses for the appropriate test.
· Use alpha = 0.05. Find the critical value(s) and calculate the observed value of the test statistic.
· Is the observed test statistic in the critical (rejection) region?
· Will the p-value be higher or lower than your alpha? What does this result mean, in terms of the company's claim?
Part 3 (One-tail test):
· List the null and alternative hypotheses for the test.
· Use alpha = 0.05.
· Find the critical value and calculate the observed value of the test statistic.
· Is the observed test statistic in the critical region?
· Will the p-value be higher or lower than your alpha?
· What does this result mean, in terms of the company's claim?
Part 4 (Conclusion):
· What conclusions did you reach?
· What did you learn from each method of checking the claim for means?
· Were there important differences between methods? Which method would you prefer?
· Which carries a higher risk of a type I error?
· Based on this experience, why do you think it’s important to decide on the method
before conducting the test?
· Based on your results, do you support the company's claim?
· What action, if any, should the company take?