# One-Way Anova Problem - Bottle Design

A consumer preference study involving three different bottle designs (A, B, and C) for the jumbo size of a new liquid laundry detergent was carried out using a randomized block experimental design, with supermarkets as blocks. Specifically, four supermarkets were supplied with all three-bottle designs, which were priced the same. The table below gives the number of bottles of each design sold in a 24-hour period at each supermarket. If we use these data, SST, SSB, and SSE can be calculated to be 586.1667, 421.6667, and 1.8333, respectively.

a Test the null hypothesis H0 that no differences exist between the effects of the bottle design on mean daily sales. Set a _ .05. Can we conclude that the different bottle designs have different effects on mean sales?

b Test the null hypothesis H0 that no differences exist between the effects of the supermarkets on mean daily sales. Set a _ .05. Can we conclude that the different supermarkets have different effects on mean sales?

c Use Tukey simultaneous 95 percent confidence intervals to make pairwise comparisons of the bottle design effects on mean daily sales. Which bottle design(s) maximize mean sales?

Results of a Bottle Design Experiment

Supermarket, j

Bottle Design, I 1 2 3 4

A 16 14 1 6

B 33 30 19 23

C 23 21 8 12

https://brainmass.com/statistics/hypothesis-testing/one-way-anova-problem-bottle-design-23528

#### Solution Summary

The solution contains detailed explanation of testing hypotheses using the five-step procedures.