(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: In the fall: priority for preregistered sophomores. In the spring: priority for preregistered first year students, then sophomores.
Cost: $170 ?
This is preliminary information about books for this course. Please contact your instructor or the Academic Coordinator for the department, before attempting to purchase these books.
|01 - 06||Intro Stats (5th Edition, Bound)||Boston: Pearson, 2018||De Veaux, Richard D., Paul Velleman, and David E. Bock||Bound version, costs about $224||TBD|
|01-06||Intro Stats, Books a la Carte Edition (5th Edition)||Boston: Pearson, 2018||De Veaux, Richard D., Paul Velleman, and David E. Bock||Unbound version (3-hole punch, loose-leaf), costs about $152||TBD|