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Useful as a text or reference, this book presents various experimental designs, reasons for selecting each design, and statistical analysis. This second edition features a new chapter on covariance analysis to help readers understand how to reduce the error associated with an experiment and examine covariances among selected variables. It includes expanded material on multiple regression analysis, ANOVA, and ANCOVA. It also provides additional examples, problems, case studies, a solutions manual, and a Minitab guide at the end of several chapters to assist in data analysis. This text remains an ideal introduction to designing experiments in agriculture, environmental science, and natural sciences.