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Unformatted text preview: 71.864 0.84193 0.622 Error 42 3585.0 85.356 Total 59 5844.6 (b) Yes, F 3 42 4 8953, P 005. (c) To determine which effects differ at the 5% level, we should use q 4 42 05 . This value is not found in Table A.8, so we approximate it with q 4 40 05 3 79. The 5% critical value is 3 79 85 356 15 9 04. The sample means are X A 34 000, X B 22 933, X C 24 800, X D 31 467. We can conclude that A differs from both B and C. (d) The Pvalue for the blocking factor is large (0.622), suggesting that the blocking factor (time) has only a small effect on the outcome. It might therefore be reasonable to ignore the blocking factor and perform a oneway ANOVA....
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This note was uploaded on 12/20/2011 for the course STA 3163 taught by Professor Mattgilg during the Fall '11 term at UNF.
 Fall '11
 MattGilg
 Statistics, Degrees Of Freedom, PValues

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