Need help for the following:
(1) Airline Fares. Listed below are the costs of flights from New York to San Francisco for US Air, Continental, Delta, United, American, Alaska, and Northwest. Use a 0.05 significance level to test the claim that there is no difference in cost between flights scheduled one day in advance and those scheduled 30 days in advance. What appears to be a prudent scheduling strategy?
Flight scheduled one day in advance 456 614 628 1088 943 567 536
Flight scheduled 30 days in advance 244 260 264 264 278 318 280
(2) Cheating gas pumps. When testing gas pumps in Michigan for accuracy, fuel quality enforcement specialists tested pumps and found that 1299 were not accurate (within 3.3 oz when 5 gal is pumped) and 5686 were accurate. Use a 0.01 significance level to test the claim of an industry representative that less than half of Michigan gas pumps are inaccurate.
(Use the sign test for the claim involving nominal data)
(3) Weather forecasts. Listed below are actual high temperatures and the high temperatures forecast one day in advance . Use a 0.05 significance level to test the claim that the population of differences has a median of zero. What do the results suggest about the accuracy of the predictions?
Actual high temperature 80 77 81 85 73 73 80 72
High temperature forecast one day before 78 75 81 85 76 75 79 74
(4) Presidents and Popes. Refer to the longevity data for US presidents and popes below. Use a 0.05 significance level to test the claim that the two samples are from populations with the same median.
Presidents 10 29 26 28 15 23 17 25 0 20 4 1 24 16 12 4 10 17 16 0 7 24 12 4
18 21 11 2 9 36 12 28 3 16 9 25 23 32
Popes 2 9 21 3 6 10 18 11 6 25 23 6 2 15 32 25 11 8 17 19 5 15 0 26
(5) Cigarettes. Refer to attached data set for the amounts of tar in the sample of king size cigarettes, which are nonfiltered, nonmenthol, and non-light. Use a 0.01 signifance level to test the claim that the median amount of tar in nonfiltered king size cigarettes is greater than the median amount of tar in 100 mm filtered cigarettes.
(6) Tar in Cigarettes. Refer to the attached data set 4 and use the amounts of tar (mg per cigarette) in the three categories of cigarettes. Use a 0.05 signifance level to test the claim that the three categories of cigarettes yield the same median amount of tar. Given that only the king size cigarettes are not filtered, do the filters appear to make a difference?
(Use the Kruskal-Wallis test with the data from Appendix B)
King size are non-filtered, non-menthol , and non-light
100 mm are filtered and non-light
100 mm nonmenthol are filtered and nonlight© BrainMass Inc. brainmass.com October 25, 2018, 5:57 am ad1c9bdddf
The solution provides step by step method for the calculation of non-parametric testing of hypothesis. Formula for the calculation and Interpretations of the results are also included.
Nonparametric Hypothesis Test on Real Estate Data
Research Question: What is the average cost of a home with four bedrooms?
Conduct the equivalent, nonparametric test of hypothesis using the five-step process.
Prepare a paper describing the results of the nonparametric hypothesis test. Include the following in your paper:
- Formulate a hypothesis statement regarding your research issue.
- Perform the five-step hypothesis test on the data.
- Explain which nonparametric test you used to analyze your data and why you chose that test.
- Interpret the results of your test, and explain the differences, if any, that you observe from your Week Three paper.
Include your raw data tables and the results of your computations in your paper, using graphical and tabular methods of displaying data and results.
[Please refer to the attachment for data]View Full Posting Details