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A study compared three display panels used by air traffic controllers. Each disp

ID: 3334857 • Letter: A

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 MINITAB output of a two-way ANOVA of the data.

  

Figure 12.12  

(a) Interpret the interaction plot in the above table. Then test for interaction with = .05.

(b) Test the significance of display panel effects with = .05.

F = 35.79, p-value = .0000; (Click to select)do not rejectreject H0

(c) Test the significance of emergency condition effects with = .05.

F = 139.36, p-value = .0000; (Click to select)rejectdo not reject H0

(d) Make pairwise comparisons of display panels A, B , and C by using Tukey simultaneous 95 percent confidence intervals. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.)

(e) Make pairwise comparisons of emergency conditions 1, 2, 3, and 4 by using Tukey simultaneous 95 percent confidence intervals. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.)

(f) Which display panel minimizes the time required to stabilize an emergency condition? Does your answer depend on the emergency condition? Why?

(g) Calculate a 95 percent (individual) confidence interval for the mean time required to stabilize emergency condition 4 using display panel B. (Round your answers to 2 decimal places.)

  Confidence interval         [ ,  ]

Emergency Condition Display Panel 1 2 3 4 A 18 26 35 13 18 24 38 13 B 17 20 30 11 11 21 31 5 C 23 32 34 8 23 30 36 15

30 25 20 15 10 Panel A Panel B Panel C

Explanation / Answer

A) P-value rule is if p-value > significance level =0.05 then we need to accept Ho that is no interaction effect, otherwise reject Ho. Here also p-value =0.133>0.05

So we can claim that there is no interaction.

B) here p-value =0.00<0.05 so that we can claim that the panel effect is significant at 5% level of significance.

C)  here also p-value =0.00<0.05 so that we can claim that the emergency condition effect is significant at 5% level of significance.

D)