Same as PLNTSOIL 793A; required of doctoral candidates.

Master's candidates present results of their thesis research to faculty and graduate students at a specially scheduled seminar.

Selected research problems not related to a candidate's Master's thesis.

Supplies background necessary to design and analyze field and laboratory experiments. Focus on statistical analysis for biological scientists. Primary emphasis on analysis of variance, regression, and experimental design. Computer-assisted analysis experience provided.

Prerequisites: a course in basic statistical analysis.

Supplies background necessary to design and analyze field and laboratory experiments. Focus on statistical analysis for biological scientists. Primary emphasis on analysis of variance, regression, and experimental design. Computer-assisted analysis experience provided.

Prerequisites: a course in basic statistical analysis.

Graduate level independent project or research, unrelated to students' thesis or dissertation.

With lab. The acquisition, translocation, distribution, and function of the essential inorganic elements in plants. Genetic control of plant nutrition and ecological adaptation to nutritional variables. Diagnosis of plant nutritional disorders. Prerequisites: PLNTSOIL 102 and 105, CHEM 110 or 111 or equivalent courses.

With lab. The acquisition, translocation, distribution, and function of the essential inorganic elements in plants. Genetic control of plant nutrition and ecological adaptation to nutritional variables. Diagnosis of plant nutritional disorders. Prerequisites: PLNTSOIL 102 and 105, CHEM 110 or 111 or equivalent courses.

With lab. The acquisition, translocation, distribution, and function of the essential inorganic elements in plants. Genetic control of plant nutrition and ecological adaptation to nutritional variables. Diagnosis of plant nutritional disorders. Prerequisites: PLNTSOIL 102 and 105, CHEM 110 or 111 or equivalent courses.

The advanced theory of statistics, including methods of estimation (unbiasedness, equivariance, maximum likelihood, Bayesian, minimax), optimality properties of estimators, hypothesis testing, uniformly most powerful tests, unbiased tests, invariant tests, relationship between confidence regions and tests, large sample properties of tests and estimators. Prerequisites: Statistc 605 and 608.