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 31 or higher on mathematics placement exam, course 2 or 3 or 11A or 15A or Mathematics 3 or 11A or 19A. Concurrent enrollment in course 7 is required. D. Draper, H. Lee, R. Prado
2 Credits
| Year | Fall | Winter | Spring | Summer |
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| 2012-13 |
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| 2011-12 |
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| 2010-11 |
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| 2009-10 |
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| 2008-09 |
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| 2007-08 |
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| 2006-07 |
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