(a)
Compute the ANOVA table.
(a)
Explanation of Solution
Table -1 shows the statistics values as follows:
Table -1
Statistic | Treatment | |||
1 | 2 | 3 | 4 | |
n | 10 | 14 | 11 | 18 |
30 | 35 | 33 | 40 | |
10 | 10 | 10 | 10 |
SST can be calculated as follows:
SSE can be calculated as follows:
Thus, the value of SSE is 490
Table -2 shows the ANOVA Table as follows:
Table -2 | ||||
Source | Degree of freedom | Sum of square | Mean square | F |
Treatments | k-1 = 3 | SST = 737.9 | 246 | 24.6 |
Error | n- k = 49 | SSE = 490 | 10 |
(b)
Compute the ANOVA table if sample means is 130,135,133 and 140.
(b)
Explanation of Solution
SST can be calculated as follows:
SSE can be calculated as follows:
Thus, the value of SSE is 610
Table -3 shows the ANOVA Table as follows:
Table -3 | ||||
Source | Degree of freedom | Sum of square | Mean square | F |
Treatments | k-1 = 3 | SST = 737.9 | 246 | 24.60 |
Error | n- k = 49 | SSE = 490 | 10 |
(c)
Explain the F- statistic
(c)
Explanation of Solution
From the above calculation, when the sample means changes, then there is no change in F- statistic.
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Chapter 14 Solutions
Statistics for Management and Economics (Book Only)
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