Fall 2017: Tu,Th, 2:30-3:50, CSSSI
An introduction to statistics and data analysis with emphasis on practical applications in the environmental sciences. Includes graphical analysis, common probability distributions, hypothesis testing, confidence intervals, and linear regression. The second part of the course introduces the topics of multiple regression and ANOVA that are typically not covered in an introductory class such as AP statistics. There are weekly problem sets using MINITAB, SPSS, or R, as well as a final project. This course is a prerequisite for other statistics courses offered through F&ES, and it presents statistical methods used in many Yale courses in both the natural and social sciences. Three hours lectureThis course is a prerequisite for more advanced statistics courses, and it presents statistical methods used in many the School’s courses in both the natural and social sciences.
F&ES 510 is a prerequisite for:
F&ES 753: Regression Modeling of Ecological and Environmental Data
F&ES 757: Statistical Design of Experiments
F&ES 758: Multivariate Data Analysis in the Environmental Sciences