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(a)
Derive SST, SSB, SSE, and SS (Total)
(a)
![Check Mark](/static/check-mark.png)
Explanation of Solution
Table -1 shows the 3 treatments as follows:
Treatment | |||
1 | 2 | 3 | 4 |
6 | 5 | 4 | 4 |
8 | 5 | 5 | 6 |
7 | 6 | 5 | 6 |
SST (Total) can be calculated as follows:
SST can be calculated as follows:
SSB can be calculated as follows:
SSE can be calculated as follows:
Thus. The value of SSE is 1.8.
(b)
Derive SS(Total).
(b)
![Check Mark](/static/check-mark.png)
Explanation of Solution
SST (Total) can be calculated as follows:
Thus, the value of SS (Total) is 14.9.
SST can be calculated as follows:
Thus, the value of SST is 8.9.
SSE can be calculated as follows:
Thus. The value of SSE is 6.
(c)
Explain the way in which SS (Total) remains the same for both experimental designs.
(c)
![Check Mark](/static/check-mark.png)
Explanation of Solution
From the estimation result, the variation between all the data is the same for both designs.
(d)
Explain the way in which SST remains the same for both experimental designs.
(d)
![Check Mark](/static/check-mark.png)
Explanation of Solution
From the estimation result, the variation between the treatments is the same for both designs.
(e)
Explain the way in which SSB+SSE is a part that is equal to SSE.
(e)
![Check Mark](/static/check-mark.png)
Explanation of Solution
SSB + SSE is a part that is equal to SSE because the randomized block designs divide the sum of squares for error in the one – way
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Chapter 14 Solutions
EBK STATISTICS FOR MANAGEMENT AND ECONO
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