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Engineers are testing company fleet vehicle fuel economy (miles per gallon) performance by using different types of fuel. One vehicle of each size is tested.
Engineers are testing company fleet vehicle fuel economy (miles per gallon) performance by using different types of fuel. One vehicle of each size is tested. Does this sample provide sufficient evidence to conclude that there is a significant difference in treatment means? 87 Octane 89 Octane 91 Octane Ethanol. 5% Ethanol. 1634 Compact 2?.2 36.9 39.3 26.8 25.8 Mid-Size 23.6 25.6 28.6 26.6 23.3 Full-Size 21.1 22.5 22.2 18.9 28.8 SUV 18.?Ir 24.1 22.1 18.7 17.4 Click here forthe Excel Data File (a) Choose the correct statement. 0 Fuel type is the blocking factor and vehicle size is the treatment. 0 Fuel type is the treatment and vehicle size is the blocking factor. (b) Fill in the boxes. (Round your 55 values to 3 decimal places, Fvalues to 2 decimal places. and other answers to 4 decimal places.) Two-Factor ANOVA Treatments (Fuel Type) Blocks (Vehicle Size} Standard Group Mean Deviation 87 Octane 89 Octane 91 Octane Ethanol 5% Ethanol 10% Compact Mid-Size Full-Size SUV Total (c) Choose the correct statement. Use a = 0.05. O Fuel type means differ significantly and vehicle size is also a significant factor. O Fuel type means do not differ significantly, but vehicle size is a significant factor. O Fuel type means differ significantly, but vehicle size is not a significant factor. O Fuel type means do not differ significantly and vehicle size is not a significant factor
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