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Question 2: A marketing organization wishes to study the effects of four sales methods on weekly sales of a product. The organization employs a randomized

Question 2:

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 JMP output of a randomized block ANOVA of these data.

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(c) Use Tukey simultaneous 95 percent confidence intervals to make pairwise comparis weekly sales. Which sales method(s) maximize mean weekly sales? (Round your answ should be indicated by a minus sign.) Method 1 - Method 2: (2.292) X 2.958 X Method 1 - Method 3: 2.375 X 7.625 X Method 1 - Method 4: 3.708 X 8.958 X Method 2 - Method 3: 2.042 X 7.292 X Method 2 - Method 4: 3.375 X 8.625 X Method 3 - Method 4: (1.292) X 3.959 X(c) Use Tukey simultaneous 95 percent confidence intervals to make pairwise comparisons of the sal weekly sales. Which sales method(s) maximize mean weekly sales? (Round your answers to 3 decim should be indicated by a minus sign.) Method 1 - Method 2: (2.896) X 3.563 X Method 1 - Method 3: 1.770 X 8.230 X Method 1 - Method 4: 4.437 X 10.896 X Method 2 - Method 3: 1.437 X 7.896 X Method 2 - Method 4: 4.104 X 10.563 X Method 3 - Method 4: (0.563) X 5.896 XSalesman, j Sales Method, i A B C 32 29 30 32 30 28 AWNH 28 25 23 25 24 25 Analysis of Variance Sum of Mean Source DF Squares Square F Ratio Model 98. 08333 19 . 6167 13 . 3245 Error 6 8. 83333 1. 4722 Prob > F C. Total 11 106.91667 21 .0889 0 . 0034* Effect Tests Sum of Source Nparm DF Squares F Ratio Prob > F Method 3 16667 8. 3208 0 . 0020* Salesman 2 2 17. 166667 5. 8302 0 . 0392* Least Squares Means Estimates Method Estimate Salesman Estimate 30.333333 A 29 . 250000 0 . 000000 27 . 000000 AWNH 25.333333 26.500000 24 . 666667 Tukey HSD All Pairwise Comparisons Quantile = 3.46171, Adjusted DF = 60, Adjustment = Tukey Method -Method Difference Std Error t Ratio Prob> t| Lower 95$ Upper 95% 0.333333 0. 9906975 0. 34 0. 9856 -3. 09617 3. 762840 5 . 000000 0. 9906975 5 . 05 0 . 0093* 1. 57050 8. 429500 5 . 666667 0. 9906975 5. 72 0 . 0050* 2. 23716 9. 096170 A AWAWN WNNHHH 4 . 666667 0. 9906975 4.71 0 . 0130* 1. 23716 8. 096170 5.333333 0. 9906975 5 . 38 0 . 0068* 1. 90383 8. 762840 . 666667 0. 9906975 . 67 0. 9036 -2 . 76284 4. 096170(a) Test the null hypothesis Ho that no differences exist between the effects of the sales methods (treatments) on mean weekly sales. Set a = .05. Can we conclude that the different sales methods have different effects on mean weekly sales? F (b) Test the null hypothesis an that no differences exist between the effects of the salesmen {blocks} on mean weekly sales. Set (1 = .05. Can we conclude that the different salesmen have different effects on mean weekly sales? F = 5.3302, p-value = 0.0392: (c) Use Tukey simultaneous 95 percent confidence intervals to make pairwise comparisons of the sales method effects on mean weekly sales. Which sales method(s) maximize mean weekly sales? {Round your answers to 3 decimal places. Negative amounts should be Indicated by a minus sign.) Method 1 Method 2: [ Method 1 Method 3: [ Method 1 Method 4: [ [ l [ Method 2 Method 3: Method 2 Method 4: Method 3 Method 4

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