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(b) Fill in the missing data. (Round your table of means values to 1 decimal place, SS and Fvalues to 2 decimal places, MS values to 3 decimal places, and p-values to 4 decimal places.) Factor 1 (Angle) Goliath Head-On Slant Rear-End Total Table of Means Factor 2 (Vehicle) Varmint Weasel Total 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 results are shown below. Research questions: Is the mean repair cost affected by crash type and/or vehicle type? Are the observed effects (if any) large enough to be of practical importance (as opposed to statistical significance)? 5 mph Collision Damage ($) Crash Type Head-On Goliath 790 Varmint Weasel 1,700 2,260 1,430 1,670 1,610 830 1,630 1,780 Slant 1,410 1,850 2,060 1,770 1.780 1,590 1,250 1,630 2,440 Rear-end 730 860 1,630 1,270 1,510 1,610 940 1,290 1,220

(b) Fill in the missing data. (Round your table of means values to 1 decimal place, SS and Fvalues to 2 decimal places, MS values to 3 decimal places, and p-values to 4 decimal places.) Factor 1 (Angle) Goliath Head-On Slant Rear-End Total Table of Means Factor 2 (Vehicle) Varmint Weasel Total 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 results are shown below. Research questions: Is the mean repair cost affected by crash type and/or vehicle type? Are the observed effects (if any) large enough to be of practical importance (as opposed to statistical significance)? 5 mph Collision Damage ($) Crash Type Head-On Goliath 790 Varmint Weasel 1,700 2,260 1,430 1,670 1,610 830 1,630 1,780 Slant 1,410 1,850 2,060 1,770 1.780 1,590 1,250 1,630 2,440 Rear-end 730 860 1,630 1,270 1,510 1,610 940 1,290 1,220

MATLAB: An Introduction with Applications
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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(b) Fill in the missing data. (Round your table of means values to 1 decimal place, SS and Fvalues to 2 decimal places, MS values to 3 decimal places, and p-values to 4 decimal places.) Factor 1 (Angle) Goliath Head-On Slant Rear-End Total Table of Means Factor 2 (Vehicle) Varmint Weasel Total
Transcribed Image Text:(b) Fill in the missing data. (Round your table of means values to 1 decimal place, SS and Fvalues to 2 decimal places, MS values to 3 decimal places, and p-values to 4 decimal places.) Factor 1 (Angle) Goliath Head-On Slant Rear-End Total Table of Means Factor 2 (Vehicle) Varmint Weasel Total
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 results are shown below. Research questions: Is the mean repair cost affected by crash type and/or vehicle type? Are the observed effects (if any) large enough to be of practical importance (as opposed to statistical significance)? 5 mph Collision Damage ($) Crash Type Head-On Goliath 790 Varmint Weasel 1,700 2,260 1,430 1,670 1,610 830 1,630 1,780 Slant 1,410 1,850 2,060 1,770 1.780 1,590 1,250 1,630 2,440 Rear-end 730 860 1,630 1,270 1,510 1,610 940 1,290 1,220
Transcribed Image Text:In a bumper test, three test vehicles of each of three types of autos were crashed into a barrier at 5 mph, and the resulting damage was estimated. Crashes were from three angles: head-on, slanted, and rear-end. The results are shown below. Research questions: Is the mean repair cost affected by crash type and/or vehicle type? Are the observed effects (if any) large enough to be of practical importance (as opposed to statistical significance)? 5 mph Collision Damage ($) Crash Type Head-On Goliath 790 Varmint Weasel 1,700 2,260 1,430 1,670 1,610 830 1,630 1,780 Slant 1,410 1,850 2,060 1,770 1.780 1,590 1,250 1,630 2,440 Rear-end 730 860 1,630 1,270 1,510 1,610 940 1,290 1,220
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