Can you help with this practice question?

A study compared three display panels used by air traffic controllers. Each display panel was tested for four different simulated emergency conditions. Twenty-four highly trained air traffic controllers were used in the study. Two controllers were randomly assigned to each display panel-emergency condition combination. The time (in seconds) required to stabilize the emergency condition was recorded. The following table gives the resulting data and the JMP output of a two-way ANOVA of the data. Emergency Condition Display Panel 1 2 3 A 17 25 31 14 14 24 34 13 B 15 22 28 9 12 19 31 10 21 29 32 15 24 28 37 19 Least Squares Means Estimates Panel Estimate Condition Estimate A 21.500000 17. 166667 18 . 250000 WNH 24.500000 25. 625000 32. 166667 13.333333 Analysis of Variance Sum of Mean Source DF Squares Square F Ratio Model 11 1482. 4583 134.769 32.6713 Error 12 49 . 5000 4. 125 Prob > F C. Total 23 1531.9583 <. effect tests sum of source nparm df squares f ratio prob> F panel 2 2 218.5833 26.4949 <. condition . panel tukey hsd all pairwise comparisons quantile="2.66776," adjusted df="12.0," adjustment="Tukey" difference std error t ratio prob>| t/ Lower 95% Upper 95% A B 3. 25000 1. 015505 3.20 0. 0194* 0.5409 5. 95912 -4. 12500 1. 015505 -4.06 0 . 0042* -6.8341 -1. 41588 -7.37500 1. 015505 -7.26 <. test the significance of emergency condition effects with a=".05." f="100.8047," p-value=".0001;" ho make pairwise comparisons display panels b and c by using tukey simultaneous percent confidence intervals. your answers to decimal places. negative amounts should be indicated minus sign. ha ub: ja uc: ub conditions h1 u3: u1 u4: u3 h2 which panel minimizes time required stabilize an does answer depend on why calculate condence interval for mean hsd all quantile="2.66776," adjusted df="12.0," adjustment="Tukey" difference std error t ratio prob>| t/ Lower 95% Upper 95% A 3. 25000 1. 015505 3.20 0 . 0194* 0. 5409 5. 95912 -4 . 12500 1. 015505 -4.06 0 . 0042* -6.8341 -1. 41588 -7. 37500 1. 015505 -7.26 | t| Lower 95% Upper 95% -7.3333 1. 172604 -6.25 0 . 0002* -10.8146 -3. 8521 -15 . 0000 1. 172604 -12. 79