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Introduction to Statistics via Modeling

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

Faculty

Brittney E. Bailey (Section 01)
Katharine F. Correia (Sections 02 and 03)
Nicholas J. Horton (Section 04)

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, 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 consent of the instructor.)

Requisite: MATH 111. Limited to 24 students. Fall semester: Professors Bailey, Correia and Horton. Spring semester: Professors Bailey, Correia, Liao and Visiting Assistant Professor Matheson.

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

Cost: 152-224 ?

Keywords

Quantitative Reasoning, Science & Math for Non-majors

Offerings

2018-19: Offered in Fall 2018 and Spring 2019
Other years: Offered in Spring 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018