A 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.

		Truck
Driver	I	II	III	IV	V
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

1. What would the appropriate type of analysis be for this data?

a. Randomized Block ANOVA

b. One-Factor ANOVA

c. Two-sample t-tests on each pairwise comparison of “Truck” means

d. Two-Factor ANOVA (with replication)

2. The reason for requiring each type of truck to be driven by each driver

a. Is to control for differences among the 5 trucks

b. Is to control for differences among the 5 drivers

c. Is to allow for measuring the “interaction” between the 5 trucks and the 5 drivers

d. Is of no consequence in the final analysis

3. To provide the data necessary for this type of analysis, ____________ control must be used when assigning the drivers to the trucks as compared to “completely” randomly assigning the drivers to the trucks.

a. More

b. Less

4. If each driver operated the same truck for their five trials, you

a. Would be able to test for differences due to the 5 different trucks

b. Would be able to separate the differences due to the 5 trucks and the 5 drivers

c. Would have “confounded” the effects between the type of truck and the drivers, and you would not be able to separate the differences due to the 5 trucks and the 5 drivers

d. Would be able to test for differences due to the 5 different drivers

5. In this analysis, the “blocking” factor would be:

a. There wouldn't be a "blocking" factor

b. The "driver" factor

c. The "truck" factor