(a)
Derive SST, SSB, SSE, and SS (Total).
(a)
Explanation of Solution
Table -1 shows the 3 treatments as follows:
Treatment | ||
1 | 2 | 3 |
7 | 12 | 8 |
10 | 8 | 9 |
12 | 16 | 13 |
9 | 13 | 6 |
12 | 10 | 11 |
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 35.7.
(b)
Derive SS (Total).
(b)
Explanation of Solution
SST (Total) can be calculated as follows:
Thus, the value of SS (Total) is 99.6.
SST can be calculated as follows:
Thus, the value of SST is 15.6
SSE can be calculated as follows:
Thus. The value of SSE is 88.
(c)
Explain the way in which SS (Total) remains the same for both experimental designs.
(c)
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)
Explanation of Solution
From the estimation result, the variation between treatments is the same for both designs.
(e)
Explain the way in which SSB+SSE is a part that is equal to SSE.
(e)
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
Statistics for Management and Economics (Book Only)
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