I have this set of data:
Treatment 1: 30.5; 34.5; 24.4
Treatment 2: 24.8; 20.8; 16.8
Treatment 3: 19.1; 21.4; 21.0
Treatment 4: 22.3; 26.1; 27.1
Treatment 5: 26.5; 31.2; 22.9
Analysis with SAS gave the following result:
ANOVA: p = 0.047 (significant)
Tukey test (alpha = 0.05):
Treatment 1: a
Treatment 2: a
Treatment 3: a
Treatment 4: a
Treatment 5: a
So which one is correct? How can I interpret this result?
Sorry, you are wright, the p value =0.04699 . But, yes there are no sign. Tukeys:
Anova Table (Type III tests) Response: depvar Sum Sq Df F value Pr(>F) A 191.24 4 3.5616 0.04699 * Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 > > a1 posthoc posthoc Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = depvar ~ A, data = data1) $A diff lwr upr p adj b-a -9.000000 -18.845172 0.8451715 0.0774020 c-a -9.300000 -19.145172 0.5451715 0.0663122 d-a -4.633333 -14.478505 5.2118382 0.5571948 e-a -2.933333 -12.778505 6.9118382 0.8580724 c-b -0.300000 -10.145172 9.5451715 0.9999727 d-b 4.366667 -5.478505 14.2118382 0.6073275 e-b 6.066667 -3.778505 15.9118382 0.3199038 d-c 4.666667 -5.178505 14.5118382 0.5509902 e-c 6.366667 -3.478505 16.2118382 0.2803705 e-d 1.700000 -8.145172 11.5451715 0.9768802
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