5) In a bumper test, three test vehicles of each of three types of autos were crashed into a barrier at 5 mph, and the resulting damage was estimated. Crashes were from three angles: head-on, slanted, and rear-end. The data appears below. a) Use JMP to fit a two-way ANOVA to the data. Using a = 0.05 draw conclusions for the ANOVA. Make sure you state your conclusion in the context of the problem. b) Does there appear to be a need to include the vehicle type / crash angle interaction term? c) Use JMP to fit a two-way ANOVA with interaction to the data. Auto Angle Damage Goliath Head-On 700 Goliath Head-On 1400 Goliath Head-On 850 Goliath Slant 1430 Goliath Slant 1740 Goliath Slant 1240 Goliath Rear end 700 Goliath Rear end 1250 Goliath Rear end 970 Varmint Head-On 1700 Varmint Head-On 1650 Varmint Head-On 1630 Varmint Slant 1850 Varmint Slant 1700 Varmint Slant 1650 Varmint Rear end 860 Varmint Rear end 1550 Varmint Rear end 1250 Weasel Head-On 2280 Weasel Head-On 1670 Weasel Head-On 1740 Weasel Slant 2000 Weasel Slant 1510 Weasel Slant 2480 Weasel Rear end 1650 Weasel Rear end 1650 Weasel Rear end 1240
5) In a bumper test, three test vehicles of each of three types of autos were crashed into a barrier at 5 mph, and the resulting damage was estimated. Crashes were from three angles: head-on, slanted, and rear-end. The data appears below. a) Use JMP to fit a two-way ANOVA to the data. Using a = 0.05 draw conclusions for the ANOVA. Make sure you state your conclusion in the context of the problem. b) Does there appear to be a need to include the vehicle type / crash angle interaction term? c) Use JMP to fit a two-way ANOVA with interaction to the data. Auto Angle Damage Goliath Head-On 700 Goliath Head-On 1400 Goliath Head-On 850 Goliath Slant 1430 Goliath Slant 1740 Goliath Slant 1240 Goliath Rear end 700 Goliath Rear end 1250 Goliath Rear end 970 Varmint Head-On 1700 Varmint Head-On 1650 Varmint Head-On 1630 Varmint Slant 1850 Varmint Slant 1700 Varmint Slant 1650 Varmint Rear end 860 Varmint Rear end 1550 Varmint Rear end 1250 Weasel Head-On 2280 Weasel Head-On 1670 Weasel Head-On 1740 Weasel Slant 2000 Weasel Slant 1510 Weasel Slant 2480 Weasel Rear end 1650 Weasel Rear end 1650 Weasel Rear end 1240
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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5) In a bumper test, three test vehicles of each of three types of autos were crashed into a barrier at 5 mph, and the resulting damage was estimated. Crashes were from three angles: head-on, slanted, and rear-end. The data appears below.
a) Use JMP to fit a two-way ANOVA to the data. Using a = 0.05 draw conclusions for the ANOVA. Make sure you state your conclusion in the context of the problem.
b) Does there appear to be a need to include the vehicle type / crash angle interaction term?
c) Use JMP to fit a two-way ANOVA with interaction to the data.
Auto | Angle | Damage |
Goliath | Head-On | 700 |
Goliath | Head-On | 1400 |
Goliath | Head-On | 850 |
Goliath | Slant | 1430 |
Goliath | Slant | 1740 |
Goliath | Slant | 1240 |
Goliath | Rear end | 700 |
Goliath | Rear end | 1250 |
Goliath | Rear end | 970 |
Varmint | Head-On | 1700 |
Varmint | Head-On | 1650 |
Varmint | Head-On | 1630 |
Varmint | Slant | 1850 |
Varmint | Slant | 1700 |
Varmint | Slant | 1650 |
Varmint | Rear end | 860 |
Varmint | Rear end | 1550 |
Varmint | Rear end | 1250 |
Weasel | Head-On | 2280 |
Weasel | Head-On | 1670 |
Weasel | Head-On | 1740 |
Weasel | Slant | 2000 |
Weasel | Slant | 1510 |
Weasel | Slant | 2480 |
Weasel | Rear end | 1650 |
Weasel | Rear end | 1650 |
Weasel | Rear end | 1240 |
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