On Black Friday an experiment was ran to determine the combi

.On Black Friday an experiment was ran to determine the combination of store type and opening time that results in the highest number of customers waiting in line to enter. You are given ANOVA results, a Tukey test, and interactions and main effects plots. Please answer the questions that follow each Minitab output Type Levels Value Factor Store Type fixed Opening 3 Clothing, Electronics, Food fixed Evening, Nidnight, Morning Analysis of Variance for shoppers, uning Adjusted SS for Tests Source store Type Opening Store Type Opening 4 6125.3 6125.3 1531.349.05 0.000 Error Total DF Seg Sdj SS Adj MS 2 10209.310209.3 5104.7 163.49 0.000 2 1064.31064.3532.2 17.04 0.001 9 281.0 31.2 281.0 17 176B0.0 A. From the ANOVA above, what factors are significant at an alpha of.05? Store Type Opening Mean Grouping clothing Electronica Midnight 2 97.00 A Electronica Evening 273.50 clothing Midnight 2 61.00 B Clothing Electronic Food Food Food Morning 2 98.50 A 2 42.50 a Morning 2 36.50 Midnight 2 24.50 Morning 218.50 Evening 210.00 C D D E DE F E F B. From the Tukey test above what can be concluded about the lines at clothing stores in the morning and electronic stores at midnight? When are lines at electronic stores the shortest?

Solution

Answer of A)

both the factors stroe type and opening are significant at alph=0.05

Answer B

Answer C

Answer D

df and sum of square of interaction may be merged and we can calculate other thing accordingly