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
A			B			C
	15			32			20
	13			32			26
	14			32			24
	19			35			26
	16			35			25

The Excel output of a one-way ANOVA of the Bottle Design Study Data is shown below.

SUMMARY
Groups	Count	Sum	Average	Variance
Design A	5	77	15.4	5.3
Design B	5	166	33.2	2.7
Design C	5	121	24.2	6.2

ANOVA
Source of Variation	SS	df	MS	F	P-Value	F crit
Between Groups	792.1333	2	396.0667	83.68	8.97E-08	3.88529
Within Groups	56.8	12.0	4.7330
Total	848.9333	14

(b) Consider the pairwise differences _{B A}, _{C A} , and _{C B}. 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:

uB-uA= ? (?,?)

uC-uA= ? (?,?)

uB-uB= ? (?,?)