Accelerated Introduction to Statistical Methods*

Course Number: 
302
Credits: 
3
Frequency: 
Fall, Spring
Course Description: 
Graphical and numerical exploration of data; standard errors; distributions for statistical models including binomial, Poisson, normal; estimation; hypothesis testing; randomization tests; basic principles of experimental design; regression; ANOVA; categorical data analysis; goodness of fit; application.
Course Prerequisites: 
Math 221
Course Audience: 
Students majoring in math or statistics or those wishing to take additional statistics courses.