ADM 2304 Lecture Notes - Lecture 16: Manufacturing Resource Planning, Null Hypothesis, Sport Utility Vehicle
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13 May 2017
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Candidate for one-way anova as we have one factor gasoline type and one response variable gas mileage. But a potentially confounding factor that impacts gas mileage is vehicle type. If we did a completely randomized design, our samples for each factor may have different types of vehicle which would bring into question any conclusion we might draw. One way of controlling for this is to divide the population of cars up by size and randomly assign one car from each size to each gasoline type (essentially creating a. In this way we ensure that the size of the car does not have an impact on the outcome. Suppose there were only two gasoline types regular and premium. The matching would be based on vehicle type so that we would make sure that each sample has equivalent vehicle types in it so that we can be sure that the vehicle type is not affecting the results.
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