Intro to Stat Modeling

Spring 2017

Introduction to Statistics via Modeling

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

Moodle sites: Course (Login required)  |  Section 01 (Login required)  |  Section 02 (Login required)  |  Section 03 (Login required)

Faculty

Nicholas J. Horton (Sections 03 and 04)
Shu-Min Liao (Section 01)
Pamela B. Matheson (Section 02)

Description

(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 ?

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Offerings