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Outcome 2 ANOVA: 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, Anova: Single Factor Groups Count Sum Average Variance 5 16.6 32.8 9.2. 124 A 5.3 83 164 B 5 с 5 24.8 8.2 SS df MS F Fcrit ANOVA Source of Variation Between Groups Within Groups P-value 0.00 2 90.8 Total 746.933 Complete the table above: Complete the table above. 1. Find the overall Mean - Total sample size N- 2. Set up the appropriate hypothesis to test for the above problem Ho: НА: 3. Calculate the following: SST : MST df2 : MSE

1. Find the overall Mean = : Total sample size N = 2. Set up the appropriate hypothesis to test for the above problem Ho: HA 3. Calculate the following: SST : MST df2 - ; MSE 5. Find the value of the F-statistic: 6. Find the critical F-value at the 5% level using df1 and df2: F0.05 - 7. Determine whether to Accept or Reject the Ho. 8. What can you conclude from the above test (explain)? Are the mean sales significantly differenl?.