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Randomized Complete Block Design (RCBD)

Experimental units in a Completely Randomized Design (CRD) are always assumed to be homogeneous . In reality, this is not necessarily true, so other methods are needed that can describe this diversity. If we conduct an experiment on a plot of land that has different fertility levels, then the effect of the treatment that we ascribe to the treatment we are trying may not be correct, thus creating a Type I Error. this land in the RAL will be included in the JKG ( Within) so that the KTG will get bigger and F (KTP/KTG) will get smaller, as a result the experiment is no longer sensitive. Finally, if we repeat the treatment at locations that have different ( non-homogeneous ) variations, then the additional diversity needs to be removed from the analysis so that we focus more on the diversity caused by the treatment we are trying. If the group factor is included in the design, we can capture the variation it causes into the JK Block. This process will reduce SS Within (Error), compared to Completely Randomized Design.