ANOVA as adjusted:


Source d.f. Sum of squares Mean square
Blocks 2 98.67
Treatments 2 228.67-32.67= 196.00 98.00
Error 4-1 = 3 10.67 3.56
Total 8-1 = 7 305.34

Fc = 98.00 / 3.56
 = 27.53

CV = 5.55%
Note: Fc = Calculated F value
 = Mean square of treatment/error mean square.

The calculated F value, Fc, is larger than the 5% F value
found in a table for 2 and 3 degrees of freedom (9.55), so
there is a significant difference among treatments at the
5% level based on the adjusted ANOVA. Had the ANOVA been
performed with the non-adjusted figures it would have
indicated significance at the 1% level.

 Missing plants. Other common corrections include an
adjustment for plant population when this factor is
affected by an outside influence that is not part of
natural environmental conditions. This is the case, for
example, when animals (or persons) interfere in an
experiment, removing or damaging plants. Since population
correction procedures tend to favor (increase) treatment
values, these should be made only when truly justified.
Judgement should be exercised in applying these correction
factors, because generally, in on-farm research, the
differences sought among treatments is much larger than
effects from usual plant population variability. This
judgement should take into consideration the variability
that can be attributed to normal environmental or local
conditions. For example, if germination is affected by
normal environmental conditions, correction for stand
should not be practiced. This is the case in some parts
of the highlands of Guatemala where maize is planted very
deep two months before the rainy season starts. If an
experimental variety does not have the ability to
withstand that condition, correcting for plant population
would be a mistake.