Intro to Stat Modeling

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Amherst College

(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 per section. In the Fall section three reserved for first-year students. Fall semester: Professors Correia, Liao, Matheson, McShane and Wagaman. Spring semester: Professors Donges, Matheson, and McShane.

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Permission is required for interchange registration during the add/drop period only.
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Course Sections

Intro to Stat Modeling
Sect # Credits Instructor(s) Instructor Email Meeting Times Location
05 4.0 The Department MF 12:30PM-01:50PM; W 01:00PM-01:50PM WEBS 102; WEBS 102