MATH 304: Introduction to Nonparametric Methods
Course Description
Statistical methods when the functional form of the population is unknown. Emphasis on applications and comparison of methods. One and two sample tests, contingency tables, tolerance limits, confidence intervals for means, tests of significance for some measures of correlation, and K-sample tests. Prerequisite: MATH 301 with a grade of C or better.
Reviews
This course exceeded my expectations. The professor really knows the material and makes complex topics accessible.
Pros: Engaging lectures, helpful office hours, fair grading
Cons: Sometimes moves a bit fast
Tips: Start assignments early and attend every lecture.
One of the better courses I've taken. Material is relevant and the assignments are interesting.
Pros: Practical applications, good feedback
Cons: Group work can be frustrating
Tips: Start projects early.
Decent course. Not amazing but not bad either. Gets the job done.
Pros: Straightforward grading
Cons: Lectures can be dry
Tips: The textbook helps more than the slides.