*****COURSES ARE SUBJECT TO CHANGE*****
Computer-based laboratory course in which students gain hands-on experience in analysis of data sets arising from statistical problem-solving in the biological, environmental, and health sciences. Descriptive methods, interval estimation, hypothesis testing, one-and two-sample problems, correlation and regression, one-way analysis of variance, categorical data analysis. (Formerly Statistical Methods for the Biological and Environmental Sciences Laboratory.) Prerequisite(s): Score of 300 or higher on mathematics placement exam, course 3 or 6 (formerly course 2) or 11A or 15A or Mathematics 3 or 11A or 19A. Concurrent enrollment in course 7 is required. D. Draper, H. Lee, R. Prado
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