Question

Engineers are testing company fleet vehicle fuel economy (miles per gallon) performance by using different types of fuel One vehicle of each size is tosted Does this sample provide sufficient evidence to conclude that there is a signficant difference in treatment means? 87Octano 31.9 18 9 284 18.1 89Octane 1191 Octanen Ethanol5%; 20.7 20.4 19 8 152 28.0 18.2 29 0 23 2 27.3 18 9 30 9 21.4 Ethano, 10%) 29 3 27.3 28.0 30 4 Mid-5ize Ful Size AClick here for the Excel Data Fle (a) Choose the correct statement O Fuel type is the blocking factor and vehicle size is the treatment O Fuel type is the treatment and vehicle size is the blocking factor (b) Fil in the boxes (Round your SS values to 3 decimal places, Fvalues to 2 decimal places, and other answers to 4 decimal places) Two-Factor ANOVA sS 90.1215 Treatments (Vehicle Sze) Blocks (Fuel Type) Ermor Total Type here to search 144
Std Dev Mean 87 Octane 89 Octane 91 Octane Ethanol 5% Ethanol 10% Compact Mid-Size Full-Size SUV Total c) Choose the correct statement. Use 0 05. O Fuel type means differ significantly, but vehicle size is not a significant factor e Fuel type means differ significantly and vehicle size is also a significant factor Fuel type means do not differ significantly and vehicle size is not a significant factor O Fuel type means do not difer significantly, but vehicle size is a significant factor d) Which fuel types show a significant difference in average fuel economy? Use theT ukey simuitaneous comparisons at a 0.05 Ethanol 10% and 87 Octane Ethanol 5% and 89 Octane O 87 Octane and 91 Octane Ethanol 10% and 91 Octane References eBook & Resources Worksheet Learning Objective: 11-09 Recognize from data format when two-factor ANOVA is needed. pe here to search
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Answer #1

data

87 oct 89 oct 91 oct ethanol 5 % ethanol 10%
compact 31.9 28 20.7 27.3 29.3
mid size 18.9 18.2 20.4 18.9 27.3
full size 28.4 29 19.8 30.9 28
SUV 18.1 23.2 15.2 21.4 30.4

result

Anova: Two-Factor Without Replication
SUMMARY n Sum Mean Variance sd
compact 5 137.2 27.44 17.278 4.156681
mid size 5 103.7 20.74 14.093 3.754064
full size 5 136.1 27.22 18.442 4.294415
SUV 5 108.3 21.66 33.308 5.771308
87 oct 4 97.3 24.325 47.38916667 6.883979
89 oct 4 98.4 24.6 24.61333333 4.961183
91 oct 4 76.1 19.025 6.6425 2.577305
ethanol 5 % 4 98.5 24.625 29.9025 5.468318
ethanol 10% 4 115 28.75 1.896666667 1.377195
ANOVA
Source of Variation SS df MS F P-value F crit
Rows 190.1215 3 63.37383333 5.38545864 0.01399 3.490295
Columns 191.273 4 47.81825 4.063557372 0.026128 3.259167
Error 141.211 12 11.76758333
Total 522.6055 19
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