Introductory Statistics for Biology
This course provides an introduction to data analysis and statistical inference illustrated with biological applications. The computer labs will teach graphical analysis and statistical computation using R. Topics include graphical display, populations and sampling, probability distributions, expectation and variance, estimation, testing, correlation, regression, contingency tables, and the design of experiments. Emphasis is on concepts and the careful modeling of biological data, so that statistical methods are applied properly, pitfalls are avoided, and sound conclusions are reached.
When Offered Fall, Spring.
Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: AEM 2100, BTRY 3010, BTRY 6010, ENGRD 2700, HADM 2010, ILRST 2100, ILRST 6100, MATH 1710, PAM 2100, PAM 2101, PSYCH 2500, SOC 3010, STSCI 2100, STSCI 2150, STSCI 2200.
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From Melissa Smith February 22, 2021
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From Melissa Smith February 15, 2021
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From Melissa Smith April 16, 2021
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From Melissa Smith March 26, 2021
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From Melissa Smith April 07, 2021
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From Melissa Smith March 03, 2021
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From Melissa Smith April 30, 2021
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From Melissa Smith March 02, 2021
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From Melissa Smith March 19, 2021
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From Melissa Smith February 26, 2021
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From Melissa Smith March 29, 2021
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From Melissa Smith April 12, 2021
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From Melissa Smith February 12, 2021
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From Melissa Smith February 24, 2021
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From Melissa Smith May 05, 2021
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