STATISTICS 503-A trucking company is planning to buy a new
\nA trucking company is planning to buy a new fleet of trucks. They have narrowed the choice to five models, each of which has about the same purchase price. It is decided to conduct a study to determine if there are any differences in the mean (average) direct operating cost of the trucks. Five different drivers were used in the study. Each truck is driven 1,000 miles by each driver and the direct cost per mile recorded. The following results were obtained. Truc
\nk
\nII III IV V Driver I A 31 41 32 28 37 B 31 40 31 29 38 C 37 46 38 35 45 D 33 41 43 40 41 E 30 39 40 44 40 #9
\nWhat would the appropriate type of analysis be for this data? Two-Factor ANOVA (with replication)
\nRandomized Block ANOVA
\nTwo-sample t-tests on each pairwise comparison of \u201cTruck\u201d means
\nOne-Factor ANOVA
\n#10
\nThe reason for requiring each type of truck to be driven by each driver is of no consequence in the final analysis
\nis to control for differences among the 5 trucks
\nis to allow for measuring the \u201cinteraction\u201d between the 5 trucks and the 5 drivers
\nis to control for differences among the 5 drivers
\n#11
\nTo provide the data necessary for this type of analysis, ____________ control must be used when assigning the drivers to the trucks as compared to \u201ccompletely\u201d randomly assigning the drivers to the
\ntrucks. More
\nLess #12
\nIf each driver operated the same truck for their five trials, you would be able to separate the differences due to the 5 trucks and the 5 drivers
\nwould have \u201cconfounded\u201d the effects between the type of truck and the drivers, and you
\nwould not be able to separate the differences due to the 5 trucks and the 5 drivers
\nwould be able to test for differences due to the 5 different drivers
\nwould be able to test for differences due to the 5 different trucks
\n#13
\nIn this analysis, the \u201cblocking\u201d factor would be: The "truck" factor
\nThere wouldn’t be a "blocking" factor
\nThe "driver" factor
\n#14
\nThe appropriate null hypothesis, , for the study would be: ? =? =? =? =?
\nI II III IV V At least one pair of the \u00b5\u2019s (for the trucks) is different
\nAll the pairs of the \u00b5\u2019s (for the trucks) are different ? =? =? =? =?
\nA B C D E #15
\nHow many different truck \u201cpairwise\u201d comparisons are there? 15
\n5
\n10
\n6
\n#16
\nUsing a level of significance = 0.05, should any of the truck pairwise comparisons be considered significantly different? No Yes
\n#17
\nShould the mean direct cost per mile for Truck III be considered significantly different from Truck V? No
\nYes
\n#18
\nDo any of the trucks appear to be the best? Yes \u2013 Truck III
\nYes \u2013 Truck II
\nYes \u2013 Truck IV
\nYes \u2013 Truck I
\nNo \u2013 no one truck appears to be the best<\/p>\n","protected":false},"excerpt":{"rendered":"
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