MATH 200

This course provides a comprehensive introduction to statistical principles and methods. At the end of the course, students should be able to utilize statistical techniques to characterize and assess research datasets and critically evaluate statistical work done by others. Topics include descriptive statistics, elementary concepts in probability, correlation and regression, sampling, estimation and hypothesis testing (including one-sample, two-sample, ANOVA, and chi-squared). This course is directed towards undergraduate science and engineering students for which fluency in basic statistical methods can greatly contribute to the depth of their core program.