A consumer preference study compares the effects of three different bottle designs (A, B, and 9 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 thesesupermarkets 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 folowing table.Bottle Design Study Data153226133033281821232616303219The Excel output of a one-way ANOVA of the Bottle Design Study Data is shown below.SUMMARYGroupsDesign ADesign BDesign CCount Sun Average Variance16.2 S.78115731.424.81.87.7124ANOVASource of VariationBetween Groupswithin GroupsSsS80.933360.8 12.0dfMS290.4667ValueI crit3.805292.57.337.2JE-075.0670Total641.733314(a) Test the null hypothesis that A and Mc are equal by setting a= 05. Based on this test, can we conclude that bottle designs A, B.and C have different effects on mean dally sales? (Round your answers to 2 decimal places.)F MP-value=HO: botle designhave an impact on sales

From the given ANOVA table: sample, n = 15 3 different bottle designs = A, B, C 5 of these are…

A consumer preference study compares the effects of three different bottle designs (A B, and ) 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 15