Spring 2022

Introduction to Statistics via Modeling

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

Moodle sites: Section 01  |  Section 02  |  Section 03  |  Section 05

Faculty

Brittney E. Bailey (Section 01)
Kevin A. Donges (Sections 03 and 04)
Pamela B. Matheson (Section 02)
Ryan P. McShane (Section 05)

Description

(Offered as STAT 135 and MATH 135) This course 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, 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. (Students who have taken STAT 111 or PSYC 122 may not also receive credit for STAT/MATH 135. Students who have taken ECON 360/361 will be admitted only with consent of the instructor.) No prior experience with statistical software is expected.

Requisite: MATH 111 or equivalent. Limited to 24 students per section. Fall and spring semesters. The Department. 

If Overenrolled: If Overenrolled: For the Fall, priority for rising sophomores. For the Spring, priority for first-year students, then sophomores.

Keywords

Quantitative Reasoning, Science & Math for Non-majors

Offerings

2022-23: Offered in Fall 2022, Spring 2023
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, Fall 2022