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Listed in: Mathematics and Statistics, as MATH-135 | Mathematics and Statistics, as STAT-135
Moodle sites: Course (Login required) | Section 01 (Login required) | Section 02 (Login required) | Section 03 (Login required) | Section 04 (Login required)
Katharine F. Correia (Section 03)
Shu-Min Liao (Section 02)
Pamela B. Matheson (Section 01)
Ryan P. McShane (Sections 05 and 06)
Amy S. Wagaman (Section 04)
(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.
If Overenrolled: In the fall: priority for preregistered sophomores. In the spring: priority for preregistered first year students, then sophomores.