PreReq: Math115 This course introduces students to statistical methos used in environmental science to analyze, interpret, and communicate data related to environmental science. The course emphasizes solving problemsand independent learning and inquiry. Students will learn key concepts in descriptive and inferential statistics, probability distributions, hypothesis testing, regression modeling, and time series analysis. The course also covers advanced topics such as model selection and spatial data analysis. Hands-on exercises using real-world environmental datasets and statistical software (R) will provide students with practical skills in data visualization, analysis, and decision-making. By the end of the course, students will be equipped to critically evaluate environmental data and apply statistical tools to address pressing environmental challenges.