ABSTRACT
This chapter introduces the various basic designs used in practice and the analysis of data obtained from these designed experiments. It considers the simplest of experimental designs, one with only one factor and with no restriction on the randomization procedure. The chapter considers various inference procedures and other relevant information on the completely randomized design (CRD). Finding expected mean squares is not always a simple matter; for a CRD experiment, however, it is rather straightforward. In the CRD, the experimental units are randomly assigned to the treatment groups, or vice versa. That is, there is essentially no restriction on the randomization except that each treatment is used a specified number of times. In many CRD experiments, one of the treatment groups serves as a control group. A control group is essentially a treatment group that serves as a basis of comparison for other treatments.
