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Assume you are creating the user interface to a production application in which time it takes users to perform a task is a good measure of productivity (the faster, the better). You've done a survey of the end users with 3 different user interface designs, and they don't prefer one over the other. The raw data is listed below for the different users who have performed the tasks, with each user performing the task with all three prototypes. Perform an analysis of variance on these data to determine if one interface provides a performance advantage over the others. If the ANOVA is significant, perform the Tukey-Kramer procedure using PHStat to determine which Prototype offers superior user performance.
Subject Prototype 1 Prototype 2 Prototype 31 84 95 832 73 102 823 74 88 834 85 97 855 83 87 726 89 88 887 78 98 848 68 78 669 78 84 7710 77 97 73
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