*****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.
2 Credits
Year | Fall | Winter | Spring | Summer |
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2018-19 |
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2017-18 |
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2016-17 |
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2015-16 |
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2014-15 |
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2013-14 |
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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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While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.