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 Goliath Varmint Weasel Head-On 700 1,700 2,280   1,400 1,650 1,670   850 1,630 1,740 Slant 1,430 1,850 2,000   1,740 1,700 1,510   1,240 1,650 2,480 Rear-end 700 860 1,650   1,250 1,550 1,650   970 1,250 1,240           Click here for the Excel Data File     (a-1) Choose the correct row-effect hypotheses.   a. H0: A1 ≠ A2 ≠ A3 ≠ 0 ⇐⇐ Angle means differ   H1: All the Aj are equal to zero ⇐⇐ Angle means are the same b. H0: A1 = A2 = A3 = 0 ⇐⇐ Angle means are the same   H1: Not all the Aj are equal to zero ⇐⇐ Angle means differ   a b   (a-2) Choose the correct column-effect hypotheses.     a. H0: B1 ≠ B2 ≠ B3 ≠ 0 ⇐⇐ Vehicle means differ   H1: All the Bk are equal to zero ⇐⇐ Vehicle means are the same b. H0: B1 = B2 = B3 = 0 ⇐⇐ Vehicle means are the same   H1: Not all the Bk are equal to zero ⇐⇐ Vehicle means differ   a b   (a-3) Choose the correct interaction-effect hypotheses.     a. H0: Not all the ABjk are equal to zero ⇐⇐ there is an interaction effect   H1: All the ABjk are equal to zero ⇐⇐ there is no interaction effect b. H0: All the ABjk are equal to zero ⇐⇐ there is no interaction effect   H1: Not all the ABjk are equal to zero ⇐⇐ there is an interaction effect   a b   (b) Fill in the missing data. (Round your table of means values to 1 decimal place, SS and F values to 2 decimal places, MS values to 3 decimal places, and p-values to 4 decimal places.)   Table of Means   Factor 2 (Vehicle) Factor 1 (Angle) Goliath Varmint Weasel Total Head-On         Slant         Rear-End         Total             Two-Factor ANOVA with Replication Source SS df MS F p-value Factor 1 (Angle)           Factor 2 (Vehicle)           Interaction           Error           Total               (c) Using α = 0.05, choose the correct statements.   The main effects of angle and vehicle are significant, but there is not a significant interaction effect. The main effect of vehicle is significant; however, there is no significant effect from angle or interaction between angle and vehicle. The main effect of angle is significant; however, there is no significant effect from vehicle or interaction between angle and vehicle.