MATH 351 - Applied Statistics

Spring and Fall (3) Prerequisite(s): MATH 112 or MATH 132.

Basic concepts of statistical inference. Topics include: 1-sample and 2-sample location problems, analysis of variance, linear regression, applications of probability models and statistical methods to practical situations and/or actual data sets. No previous knowledge of probability is assumed. This course is recommended for students who wish to take a single, self-contained statistics course that emphasizes analysis of experimental data. Mathematics concentrators with an interest in applications are also encouraged to take this course followed by the more theoretical Math 401 and Math 452. Math 351 may not be taken concurrently with May 401, nor after receiving credit for Math 401.