his question refers to the Roadtest Case. An engineer at a government research facility is studying the effect of five types of gasoline additives on the mileage performance of SUVs. Three SUVs of different makes are available for the experiment. Each of the SUVs is run using each of the five additives in random order, with steps taken to make sure there is no 'carry-over' or 'mixing' effect. The results are shown by the image (the response variable is miles per gallon), and can be downloaded above. The goal is to evaluate the effect of the additives using a significance level of 10%. Download the data file for this question from the link provided.

What type of analysis would you use for this experiment?

Additive 1 2 3

1 16 20 15

2 17 17 13

3 15 15 9

4 16 14 14

5 14 15 8

a ANOVA on 'Type of Additive' using 'SUV' as the Blocking variable

b One-Way ANOVA on 'Type of Additive'

c Two-level Full Factorial Design with 'Type of Additive' and 'SUV'

d ANOVA on 'SUV' using 'Type of Additive' as the Blocking variable