ABSTRACT
In our discussion in Chapter 3, we mentioned that to minimize error, the design of an experiment is a critical factor. So far, we have discussed the various designs and how they minimize experimental error. You may recall that grouping of experimental units into homogenous blocks was used to increase the uniformity of the experiment and thus reduce the amount of error directly in an experiment. In addition to using properly designed experiments, researchers also have statistical tools to help reduce the amount of error in an experiment. In this chapter, we will introduce you to the analysis of covariance as an indirect measure to control error.
