Fall 2016

Introduction to Statistics via Modeling

Listed in: Mathematics and Statistics, as MATH-135  |  Mathematics and Statistics, as STAT-135

Moodle sites: Course  |  Section 02  |  Section 03


Nicholas J. Horton (Sections 01, 02 and 03)
Joanna M. Jeneralczuk (Section 03)
Mylinh H. Le (Section 01)
Shu-Min Liao (Section 01)
Siqing Liu (Section 03)
Pamela B. Matheson (Section 02)
Margaret G. Shea (Section 02)


(Offered as STAT 135 and MATH 135.)  Introduction to Statistics via Modeling is an introductory statistics course that uses modeling as a unifying framework.  The course provides a basic foundation in statistics with a major emphasis on constructing models from data. Students learn important concepts of statistics by mastering powerful and relatively advanced statistical techniques using computational tools. Topics include descriptive and inferential statistics, probability, study design, ANOVA, and multiple regression. Students who are majoring in mathematics should take this course instead of STAT 111. (Students may not receive credit for both STAT 111 and MATH 135.) Four class hours per week (two will be held in the computer lab).

Requisite: MATH 111. Limited to 24 students.  Fall semester: Professor Horton, Lecturer Jeneralczuk and TBA.  Spring semester: Professors Horton, Liao, and Matheson.

If Overenrolled: In the fall: priority for preregistered sophomores. In the spring: priority for preregistered first year students, then sophomores.

Cost: 170 ?


Quantitative Reasoning, Science & Math for Non-majors


2022-23: Not offered
Other years: Offered in Spring 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, January 2021, Spring 2021, Fall 2021, Spring 2022