SCHEMATYC: Statistical Content
Helping to Empower Mathematicians at Two-Year Colleges
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The materials are free to the public and are intended to serve as an learning resource for two-year college instructors who wish to study introductory statistics.
COURSE June 4-September 10, 2012
This online course covers the essentials of introductory statistics at a level aimed at instructors, not students. We assume instructors have a background in mathematics and/or a related field, and some explanations and material are aimed at those with experience in mathematics and sciences and so are not suitable for students. The course was strongly inspired by the American Statistical Association's Guidelines for Assessment and Instruction in Statistics Education, guidelines which are consistent with the Common Core statistics strand and with many four-year colleges and universities articulation agreements.
The online materials are intended to assist learners. They are not intended to replace a textbook but, instead, to augment a textbook. Your instructor for the course will facilitate discussions and provide additional assignments that will help you teach this data-centric course at your own college.
Required Software Please purchase Fathom, which is the software we will use. Although this software is required, it is possible to use another statistical software package (but NOT a TI calculator), although we cannot provide instruction. The student edition (for about $40) is sufficient.
Required Text: Please purchase (or have on hand) one (only one!) of the following:
Agresti & Franklin, Statistics: The Art and Science of Learning from Data (2nd Edition)
De Veaux, Velleman, Bock: Intro Stats (3rd Ed)
Gould & Ryan, Introductory Statistics: exploring the World Through Data
Peck & Devore, The Exploration & Analysis of Data
Utts & Heckard: Mind on Statistics
OpenIntro Statistics A free, open-source textbook project.
All of these books will support the material in this course.
Optional Text: Freedman, Pisani & Purves: Statistics (4th Edition). This is a fun book to read, although students find it quite a struggle. Still, for those with some exposure to the topic, it is quite entertaining and enlightening, but with some very difficult questions/problems!
Prerequisite: A bachelor's degree. Participants should either be currently teaching a two-year college introductory statistics course or have taught one recently.
Robert Gould, UCLA Dept. of