Question

In: Statistics and Probability

Engineers are testing company fleet vehicle fuel economy (miles per gallon) performance by using different types...

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 10%
Compact 30.4 29.7 16.0 30.0 29.8
Mid-Size 17.0 17.2 20.8 19.1 30.7
Full-Size 28.0 28.3 19.7 29.8 27.1
SUV 18.6 22.2 15.0 23.9 31.6

  Click here for the Excel Data File


(a)
Choose the correct statement.

  • Fuel type is the blocking factor and vehicle size is the treatment.

  • Fuel type is the treatment and vehicle size is the blocking factor.



(b)
Fill in the boxes. (Round your SS values to 3 decimal places, F values to 2 decimal places, and other answers to 4 decimal places.)

Two-Factor ANOVA
Source SS df MS F p-value
Treatments (Fuel Type)
Blocks (Vehicle Size)
Error
Total
Group Mean n Std. Dev
87 Octane
89 Octane
91 Octane
Ethanol 5%
Ethanol 10%
Compact
Mid-Size
Full-Size
SUV
Total


(c)
Choose the correct statement. Use α = 0.05.

  • Fuel type means differ significantly and vehicle size is also a significant factor.

  • Fuel type means do not differ significantly, but vehicle size is a significant factor.

  • Fuel type means differ significantly, but vehicle size is not a significant factor.

  • Fuel type means do not differ significantly and vehicle size is not a significant factor.



(d)
Which fuel types show a significant difference in average fuel economy? Use α = 0.05. (You may select more than one answer. Click the box with a check mark for the correct answer and click to empty the box for the wrong answer.)

  • Ethanol 10% and 87 Octane

  • Ethanol 5% and 89 Octane

  • 87 Octane and 91 Octane

  • Ethanol 10% and 91 Octane

Solutions

Expert Solution

a)

Fuel type is the treatment and vehicle size is the blocking factor.

b)

applying ANOVA:

Source SS    df MS F    p-value
Treatments 296.472 4 74.1180 4.29 .0220
Blocks 143.990 3 47.9965 2.78 .0868
Error 207.208 12 17.2673
Total 647.670 19
Mean n Std. Dev
87 Octane 23.5000 4 6.6863
89 Octane 24.3500 4 5.7726
91 Octane 17.8750 4 2.8088
Ethanol 5% 25.7000 4 5.2313
Ethanol 10% 29.8000 4 1.9442
Compact 27.1800 5 6.2556
Mid-Size 20.9600 5 5.6607
Full-Size 26.5800 5 3.9670
SUV 22.2600 5 6.2456
Total 24.2450 20 5.8385

c)

Fuel type means differ significantly, but vehicle size is not a significant factor.

d)

Ethanol 10% and 91 Octane


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