Heterogeneity in the experimental material is an important problem to be
reckoned with the designing of scientific experiments. Block designs are useful
in controlling heterogenenity arising due to one source. The basic purpose of forming
blocks is to maintain the homogeneity within blocks. A Randomized Complete Block
(RCB) design is the simplest and commonly used block design. When the number of
treatments in an experiment increases, incomplete block designs with smaller block
sizes can be adopted. Balanced Incomplete Block (BIB) and Partially Balanced Incomplete
Block (PBIB) designs are two important types of such designs.
This web page analyzes data generated from complete/incomplete block designs having
equal/unequal repilcations as well as block sizes. The analysis provides ANOVA(s),
treatment means, CD(s) and comparison of treatment means. In case of PBIB designs,
various associates for all the treatments are also displayed.