ESM 206: Environmental Statistics and Data Analysis Christopher Costello Bruce Kendall Annette Killmer

Course Objectives Directed at MESM students in Bren School Introduce commonly used statistical tools – conditions for use Teach how to frame environmentally- motivated question into testable hypothesis and how to use tools to answer Interpret results of analysis to provide insight into environmental problems

Resources  Text: Manly Statistics for Environmental Science and Management. Chapman and Hall.  S-Plus statistics package (installed in SCF)

Course Format  Lectures  3 per week  Expected to attend all lectures  Lecture material applied and motivated with real environmental problem  Labs  1 per week. T.A. Annette Killmer. In SCF.  Bring questions – don’t expect to complete homework in Lab sessions.

Grading  Problem Sets (40%)  5-6 during quarter (7-10 days each).  Midterm (25%)  Take home. Own work!  Final or Paper (35%)  If you choose a term paper  3 stages (proposal, progress, final paper)  Can opt to take final to boost midterm grade

Topic Syllabus  First Half of Course: Basic Statistics  What is statistics?  Sampling, probability, distributions  Regression, ANOVA  Drawing Conclusions from data  Second Half: Special Topics  Monitoring, Impact Assessment  Time Series, Spatial Stats  Risk and Uncertainty

Expectations  Of You  Participate in class/lab  Do readings  Submit assignments on time (no late assignments will be graded)  Do your own work  Of Ourselves  Keep it interesting  Introduce techniques with real-world examples  Make ourselves accessible  Make lecture notes available