Catalog course description

A course in the basic concepts of applied mathematical statistics: parametric models, estimation, confidence intervals, hypothesis testing.

Prerequisites cover i.a. elementary probability theory (sample space, events, probability), density & distribution functions, conditioning, independence, expectation, samples, parameter estimation, confidence intervals, hypothesis testing, central limit theorem.

MTH 411 continuation covers regression, correlation, linear models, ANOVA, randomized block designs, non-parametric methods

Learning goals and examination

After you finish this course, you will be able to: