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SV DF SS MS Computed Tabular
5% 5% 1%
Treatment 4 23.24 5.81 23.24** 3.06 4.89
Expt’l error 15 3.79 0.25
TOTAL 19 27.03
CV = 13.97% ** = Significant at 1% level

STEP 7.Compute the CV( Coefficient of Variation)

C V = EMSx 100

Grand Mean

C V = 0.25 x 100 = O.5 X 100 = 13.97

3.58 3.58

RANDOMIZED COMPLETE BLOCK DESIGN

 It is one often the most popular designs for field experiments due
to its simplicity. It is often referred to as RCBD
 It is recommended for field experiments due to variability in the
environment
 Its chief advantage is the ability to reduce error due to variability
by means of BLOCKING

BLOCKING

 It is a means of improving the accuracy of experimental results by
means of classifying the experimental materials according to age,
size, weight etc. to increase uniformity.
 Each block accommodates a complete set of treatments .
 Each treatment appears once in each block and each block is
considered a replicate.
 So the number of blocks is equal to the number of replications.

 If the area is not enough another block maybe set in another area
adjacent to the experimental area which is similar to the
characteristics of the study area.
 During the conduct of the experiment all cultural procedures are
similar on all blocks except that of the treatment.
 If weeding the whole area cannot be finished in one time weeding
should be finished on units within blocks before starting another
block.