COMPLETELY
RANDOMIZED
DESIGN (CRD)
Description
The treatments are randomly
assigned to the experimental
subjects without restriction.
The experimental subjects are
assumed to be homogenous
with respect to the factors that
could affect the treatments
being compared.
Example Procedure
Advantages of CRD
 Flexible in the number of treatments
and replication is limited only by the
number of experimental subjects
 Statistical analysis is simple and easy
even if the number of replication per
treatment is not the same.
 Statistical analysis is simple and easy
even if some experimental subjects or
entire treatments are missing or
rejected.
Disadvantages of CRD
 Not easy to attain homogenous
characteristics
 Accuracy is at stake
Appropriateness of CRD
 Appropriate to use if the experimental
subjects have similar characteristics
Example of a Research Utilizing CRD
Effectiveness of Nail Polish to
Seal Cracks in Chicken Eggs
intended for Hatching
20 Eggs of the same size, date of
production and the same breed