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]
1B 01 1151 LEC ARR Online Dorothy Horn Course open Course Details General Education Course Asynchronous Online Course
1B 1A 1152 ACT ARR Online Dorothy Horn Course open Course Details General Education Course Asynchronous 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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