A consumer preference study compares the effects of three different bottle designs (A, B and C) on sales of a popular fabric softener. A completely randomized design is employed Specifically, 15 supermarkets of equal sales potential are selected, and 5 of these supermarkets are randomly assigned to each bottle design. The number of bottles sold in 24 hours at each supermarket is recorded. The data obtained are displayed in the following table Bottle Design Study Data The Excel output of a one-way ANOVA of the Bottle Design Study Data is shown below. SUMMARY Groups Count Sum Average Variance DOGO A 5 73 146 Design B 5 161322 Design C 5 130 20.0 3.5 ANOVA Source of Variation Between Groups Within Groups SS 786 9333 40.0 P 2 120 MS 398.4067 3.3333 F 119.54 Value 3.23E-06 Forit 386529 (a) Test the null hypothesis that MAMOand care equal by setting a .05. Based on this test, can we conclude that bottle designs A B, and C have different effects on mean daily sales? (Round your answers to 2 decimal places. Leave no cells blank be certain to enter"0" wherever required.) p-value Click to select) Ho: bottle design (Click to select) have an impact on sales (6) Consider the pairwise differences - AWO-PA and Mc Find a point estimate of and a Tukey simultaneous 95 percent confidence interval for each pairwise difference Interpret the results in practical terms. Which bottle design maximizes mean daily sales? (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign) Point estimate Confidence interval HEWA HOWA Ho Me Bottle design (Click to select) maximizes sales (c) Find a 95 percent confidence interval for each of the treatment means HAM and Mc Interpret those intervals. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.) Confidence interval