The Nature of Agricultural Research. Key Assumptions of Experimental Designs. Designs for Reducing Error. Single-Factor Experimental Designs. Two-Factor Experimental Designs. Three (or More)- Factor Experimental Designs. Treatment Means Comparison. Sample Designs Over Time. Regression and Correlation Analysis. Covariance Analysis. Appendices.
Reza Hoshmand (Author)
"… guides readers to think through their problems, to design
experiments to answer their questions, to analyze the data accruing
from those experiments, and to draw sensible inferences. … the
exercises at the end of the chapter give readers the opportunity to
test their understanding. … a handy companion for agronomists and
environmental scientists who need to experiment with treatments
they can control."
-R. Webster, Journal of Environmental Quality, Vol. 36, Issue 1,
January-February 2007
"…One strength of the text is that there are many actual
agricultural and biological examples and data analysis problems. …
This text would be beneficial to those whose backgrounds are in
agriculture and biology, those who would like to see basic
computational details, and those who prefer the classical test
statistic/critical value approach to hypothesis testing."
-Biometrics, December 2006
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