A consumer preference study compares the effects of threedifferent bottle designs (A, B, and C)on sales of a popular fabric softener. A completely randomizeddesign is employed. Specifically, 15 supermarkets of equal salespotential are selected, and 5 of these supermarkets are randomlyassigned to each bottle design. The number of bottles sold in 24hours at each supermarket is recorded. The data obtained aredisplayed in the following table.

Bottle Design Study Data
A	B	C
	19			34			26
	18			33			24
	14			35			23
	17			30			21
	14			31			27

  

You will need to enter the data intoMinitab. It is easiest to copy from here into Excel. Then copyand paste from Excel into Minitab. Besure that row 1 (the firstwhite row in the spreadsheet) contains the first piece of data andthat variable names are in the top grey row inMinitab.

  

Test the null hypothesis that μA,μB, and μC are equal bysetting α = .05. Based on this test, can we conclude thatbottle designs A, B, and C have different effects on mean dailysales? (Round your answers to 2 decimal places.Leave no cells blank - be certain to enter \"0\" whereverrequired.)

  F	 Â
  p-value	 Â

  (Select One) Do not reject/RejectH0: bottle design (Select One) doesnot/does have an impact on sales.

Based on Tukey's results, which bottle design maximizes meandaily sales?