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Design and analysis of single and multiple-factor experiments. Includes block designs, repeated measures, factorial and fractional factorial experiments, and response surface experimentation. Techniques include simple and multiple linear regression, repeated measures, generalized linear models, correlation, and model building diagnosis. Applications in biological and biomedical problems. A computer package will be used. Offered fall semester. Prerequisite: STA 616.