The class will move at a pace faster than that of MATH106, but no previous experience with calculus is required. The course is open to members of the honors program and others with a grade point average of 3.5 or better and permission of the honors coordinator. In this course students are taught the concepts necessary for statistical analysis and inference. Topics include descriptive statistics, classical probability, probability distributions, confidence intervals, and hypothesis testing, chisquare analysis, simple linear regression and correlation. This course focuses on selected topics in mathematics and will vary from year to year according to student interest and faculty availability.
Honors courses provide the opportunity for exceptional achievement.
Instructors use methods and introduce concepts that will challenge the highly motivated student. Often interdisciplinary in approach and sometimes team taught, honors courses typically offer students occasions to extend their learning beyond the classroom. A continuation of MATH 201, this course provides students further concepts necessary for statistical analysis and inference. Topics include analysis of variance, multiple regression and correlation, model building, chi-square tests, and nonparametric statistics. A continuation of MATH 201, this course provides students further concepts necessary for statistical analysis and inference.