This course provides a review of discrete and continuous probability distributions along with methods to fit these probability models to empirical data and assess the quality of these fits. We will focus on methods for hypothesis testing, placing confidence intervals on sample means, and analyzing the variance. Finally, this course will provide basic introduction to correlation and regression, and will provide introduction to spatial aspects of regression analysis. The weekly exercises will provide an opportunity for the application of the material covered in class to datasets.