After using the 35 numbers given to run the test my findings are as follows.

How Many in Sample:35

Sample Mean:26.72

Standard Deviation:2.10039212

Confidence Level:95%

95% Confidence Interval: 26.72 0.696 (26 to 27.4) "With 95% confidence the population mean is between 26 and 27.4, based on 35 samples."

• List the null and alternative hypotheses for the two-tail test for the mean. Calculate the observed value of the test statistic and the associated p-value.
  • Is the observed test statistic in the critical region? Is the p-value higher or lower than your alpha?
  • Note: Include your calculations. If your calculations are submitted separately, make note of where they can be found.
• List the null and alternative hypotheses for the one-tail test of the mean. Calculate the observed value of the test statistic and the associated p-value.
  • Is the observed test statistic in the critical region? Will the p-value be higher or lower than your alpha?

What conclusions did you reach? What did you learn about the situation by using each method? Did one method offer more conclusive proof than another? Based on your results, do you support the company's claim that their minivans get 28 miles per gallon? Summarize the details of your test methods and the results from each statistical method you used. Explain the findings so that executives from both the agency and the company can understand your conclusion. Finally, present recommendations for actions that the company might take to use your findings to better serve their customers in the future.