Fall 2017

Introduction to Statistics via Modeling

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

Moodle sites: Course  |  Section 01  |  Section 02


Albert Y. Kim (Section 01)
Pamela B. Matheson (Sections 02 and 03)


(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, visualization, probability, study design, ANOVA, and multiple regression. Students who have taken a semester of calculus (MATH 111 or higher, or equivalent placement) or who are majoring or planning to major in mathematics and/or statistics should take this course instead of STAT 111/111E. (Students who have taken STAT 111/111E or PSYC 122 may not also receive credit for STAT/MATH 135. Students who have taken ECON 360/361 will be admitted only with permission of instructor.)

Requisite: MATH 111. Limited to 24 students.  Fall and spring semesters.  Lecturers Kim and Matheson.

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

Cost: 100 to 200 ?


Quantitative Reasoning, Science & Math for Non-majors


2020-21: Offered in Fall 2020, January 2021, Spring 2021
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