Question: Was able to correctly answer. No need for help, Thank you. A marketing organization wishes to study the effects of four sales methods on weekly

Was able to correctly answer. No need for help,

Was able to correctly answer. No need for help, Thank you.

A marketing organization wishes to study the effects of four sales methods on weekly sales of a product. The organization employs a randomized block design in which three salesman use each sales method. The results obtained are given in the following table, along with the Excel output of a randomized block ANOVA of these data Salesmanj Sales Method, i 33 35 31 26 23 19 2013 ANOVA: Two-Factor without Replication SUMMARY Count Sum Average Method 1 3 93 31.0000 Method 2 3 98 32.6667 Method 3 3 75 25.0000 Method 4 3 22.6667 Salesman A 4 145 36.25 Salesman B 4 106 26.50 Salesman C 4 83 20.75 Variance 31.0000 58.3333 52.0000 126.3333 11.5833 35.0000 36.2500 68 925 ANOVA Source of Variation Rows Columns Error Total MS 68.1111 245.5833 7.36111 P-Value 0114 .0006 F crit 4.7571 5.1433 SS 204.3333 491.1667 44.1667 739.6667 33.36 11 (a) Test the null hypothesis Ho that no differences exist between the effects of the sales methods (treatments) on mean weekly sales. Set mean weekly sales? 05. Can we conclude that the different sales methods have different effects on F = 9.25. p-value = .0114: (Click to select) Ho: there is (Click to select) in effects of the sales methods (treatments) on mean weekly sales. (b) Test the null hypothesis Ho that no differences exist between the effects of the salesmen (blocks) on mean weekly sales. Set a = .05. Can we conclude that the different salesmen have different effects on mean weekly sales? F = 33.36, p-value .0006: Click to select) Ho: salesman (Click to select have an effect on sales A marketing organization wishes to study the effects of four sales methods on weekly sales of a product. The organization employs a randomized block design in which three salesman use each sales method. The results obtained are given in the following table, along with the Excel output of a randomized block ANOVA of these data Salesmanj Sales Method, i 33 35 31 26 23 19 2013 ANOVA: Two-Factor without Replication SUMMARY Count Sum Average Method 1 3 93 31.0000 Method 2 3 98 32.6667 Method 3 3 75 25.0000 Method 4 3 22.6667 Salesman A 4 145 36.25 Salesman B 4 106 26.50 Salesman C 4 83 20.75 Variance 31.0000 58.3333 52.0000 126.3333 11.5833 35.0000 36.2500 68 925 ANOVA Source of Variation Rows Columns Error Total MS 68.1111 245.5833 7.36111 P-Value 0114 .0006 F crit 4.7571 5.1433 SS 204.3333 491.1667 44.1667 739.6667 33.36 11 (a) Test the null hypothesis Ho that no differences exist between the effects of the sales methods (treatments) on mean weekly sales. Set mean weekly sales? 05. Can we conclude that the different sales methods have different effects on F = 9.25. p-value = .0114: (Click to select) Ho: there is (Click to select) in effects of the sales methods (treatments) on mean weekly sales. (b) Test the null hypothesis Ho that no differences exist between the effects of the salesmen (blocks) on mean weekly sales. Set a = .05. Can we conclude that the different salesmen have different effects on mean weekly sales? F = 33.36, p-value .0006: Click to select) Ho: salesman (Click to select have an effect on sales

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