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-The CRD is best suited for experiments with a small number of treatments. -Treatments are assigned to experimental units completely at random. -Every experimental unit has the same probability of receiving any treatment. -Randomization is performed using a random number table, computer, program, etc.

In a CRD, we do not resort to grouping of the experimental site and allocate the treatments at random to the experimental units. But in R.B.D. treatments are allocated at random within the units of each stratum or block, i.e., randomization is restricted.

Randomized Blocks Design (RBD) Such an arrangement of grouping the heterogeneous units into homogenous blocks is known as randomized blocks design. Each block consists of as many experimental units as the number of treatments.

Randomized block design (RBD) is an experimental design where subjects or experimental units are grouped into blocks, with the different treatments to be tested randomly assigned to the units in each block. It is a way to set up an experiment to make data analysis simple and easy to understand.

The RBD utilizes the principles of design - randomization, replication and local control . The treatments in the RBD are randomly assigned to b blocks such that each treatment must occur in each block rather than assigning them at random over the entire set of experimental units as in the CRD.

-The CRD is best suited for experiments with a small number of treatments. -Treatments are assigned to experimental units completely at random. -Every experimental unit has the same probability of receiving any treatment. -Randomization is performed using a random number table, computer, program, etc.

More observations in an RBD improves the ability of the ANOVA to identify statistical differences in the primary factor of interest. The value of RBDs must be balanced against the need to randomize across blocks, which creates waste from switching between test subjects.