| Current Students | Southeastem x [ Question 7 - Ch 11 End of Chapt X New tab * + - C @ https://ezto.mheducation.com/ext/map/index.html?_con=con&external_browser=0&launchUrl=https%253A%252F%252Fblackboard.se.edu%252Fwebapps%252Fportal%252F.. to Not s Ch 11 End of Chapter Assignmenti Saved Help Save & Exit Subn Check my work 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 1.5 importance (as opposed to statistical significance)? point 5 mph Collision Damage ($) Crash Type Goliath Weasel Head-On 740 Varmint 1, 750 2, 210 1, 48 1, 62 1, 600 eBook 850 1 , 646 1, 720 Slant 1,480 1 , 770 1 , 86 1, 520 1 , 290 1 610 2, 450 Rear-end 1, 220 1, 690 990 1, 680 1 , 260 1, 280 C @ https://ezto.mheducation.com/ext/map/index.html?_con=con&external_browser=0&launchUrl=https%253A%252F%252Fblackboard.se.edu%252Fwebapps%252Fportal%252F... Ch 11 End of Chapter Assignment i Saved p Save & Exit Submit Check my work 1.5 point 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.) eBook Table of Means Factor 2 (Vehicle) Factor 1 (Angle) Goliath Varmint Weasel Head-On Slant Rear-End Total Two-Factor ANOVA with Replication Source p-value Factor 1 (Angle) Factor 2 (Vehicle) Interaction E Error Total