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Natural Resource Statistics

EAS
538
Description

This course addresses basic statistics with examples from a wide range of environment and sustainability subjects. The course will focus on classic statistical tests (hypothesis testing, t-tests, analysis of variance, correlation, and linear regression), descriptive statistics, sampling techniques, experimental design, and plotting data.  The course is applied, meaning we will focus on when and why different statistical techniques should be used, rather than deriving the mathematical underpinnings of these techniques. A weekly lab will focus on implementing statistical tests using the open-source statistical package R. There are no prerequisites to take the class.

Faculty/Instructor
Inés Ibáñez
Meha Jain
Drew Gronewold
Syllabus
File
EAS_538.001_Fall_2021.pdf
Credits
Minimum credits
4.00
Maximum credits
4.00
Pass / Fail
No Pass/Fail option
Undergrad
No
Graduate
Yes
Prerequisites
None
Offered Fall Semester
Yes
Offered Winter Semester
Yes
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University of Michigan School for Environment and Sustainability
Dana Building
440 Church Street
Ann Arbor, MI 48109
(734) 764-6453
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