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.
2 Credits
Year | Fall | Winter | Spring | Summer |
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2021-22 |
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2020-21 |
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2019-20 |
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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.