Description: Hours: Two hours lecture and two hours activity per week Description: This course introduces students to foundational statistical concepts and tools essential for environmental science and resource management. Students will develop quantitative and analytical skills through practical applications of open-source software such as R, alongside accessible non-command line tools like Excel, JMP, and Tableau. Analytical topics include parametric and non-parametric methods, probability distributions, hypothesis testing, and regression analysis. Coursework emphasizes data management, quality assurance, and visualization, with a focus on interpreting environmental and social science data. By the end of the course, students will gain confidence in using statistical methods to explore and analyze complex environmental problems.
Units: 3.00
Grading: Letter Grade
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Session Section Class # Type Days Time Location Instructor Course Details [Key]
1 01 1485 LEC T 08:00 AM - 09:50 AM Sierra Hall 2432 Emily Fairfax Course open Course Details General Education Course In Person Online Course
1 1A 1486 ACT TH 08:00 AM - 09:50 AM Sierra Hall 2432 Emily Fairfax Course open Course Details General Education Course In Person Online Course

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Course open= Course Open Course Closed= Course Closed Course Details= Course Details
Textbook Info= Textbook Info General Education Class= General Education Extended University Class= Extended University
Service Learning Class= Service Learning In Person Class= In Person Asynchronous Online Class= Asynchronous Online
Synchronous Online Class= Synchronous Online Synchronous/Asynchronous Class= Synchronous/Asynchronous Blended Class= Blended
Synchronous/Asynchronous Class= No Cost Course Materials Low Cost Course Materials= Low Cost Course Materials
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