Types of Experimental Designs in Statistics
Completely Randomized Design (CRD), Randomized Block Design (RBD), Latin Square Design (LSD) – Advantages and Disadvantages
In the previous post, we have discussed the Principles of Experimental Designs. There we discussed the concept of Experimental design in statistics and their applications. In the present post, we will discuss different types of statistical experimental designs, its applications, advantages and limitations.
Learn more: Principles of Experimental Designs
Different types of Experimental Designs
Ø Experimental designs are broadly classified into TWO categories:
(A). Single-Factor Experiments
(B). Multi-factor Experiments
(A). Single-Factor Experiments:
Ø Single factor experiments are those experiments in which only a single factor varies while all others are kept constant.
Ø Here the treatments consist exclusively of the different levels of the single variable factor.
Ø All other factors are applied uniformly to all plots.
Ø Examples of Single-Factor Experimental Designs:
(1). Completely Randomized Design (CRD)
(2). Randomized Block Design (RBD)
(3). Latin-Square Design (LSD)