2. The Completely Randomized Design.
3. The Randomized Block Design.
4. Balanced Incomplete Block Designs.
5. Correlation Effects.
6. Categorical Data for Randomized Block Designs.
7. Goodness of Fit.
8. Concluding Remarks.
*Problems considered include the most commonly occurring and important experimental designs: the one-sample, k-sample, blocked samples, samples with factorial structure and samples with correlation structure
*Outlines innovative new techniques and complements with real examples.
*Intended for sensory scientists and statisticians interested in nonparametrics, the techniques of Nonparametrics for Sensory Science are of broad general interest, but are of particular interest in sensory evaluation applications.