First-Year Courses in Statistics These pages are no longer maintained. Consult the new Course Guide at: http://www.lsa.umich.edu/lsa/cg_subjectlist/0,2030,8,00.html?show=20&termArray=f_04_1510&cgtype=ug This page was created at 1:08 PM on Wed, May 5, 2004. Fall Academic Term, 2004 (September 7 - December 23) Search Only the First-Year LS&A Course Guide (Advanced Search Page) Search the Full LS&A Course Guide (Advanced Search Page) STATS 100. Introduction to Statistical Reasoning. Instructor(s): Prerequisites & Distribution: (4). (MSA). (BS). (QR/1). May not be repeated for credit. No credit granted to those who have completed or are enrolled in SOC 210, STATS 265, 350, 400, 405, or 412, IOE 265, or ECON 404 or 405. Credits: (4). Course Homepage: No homepage submitted. Provides an overview of the field of statistics, including methods of summarizing and analyzing data, statistical reasoning for learning from observations (experimental or sample), and techniques for dealing with uncertainties in drawing conclusions from collected data. Emphasis is on presenting underlying concepts rather than covering a variety of different methodologies. Course evaluation is based on a combination of a Thursday evening midterm examination, a final examination, and GSI input. The course format includes lectures and a discussion section (one hour per week). Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given. STATS 350. Introduction to Statistics and Data Analysis. Instructor(s): Prerequisites & Distribution: (4). (NS). (BS). (QR/1). May not be repeated for credit. No credit granted to those who have completed or are enrolled in ECON 404 or 405, or IOE 265 or STATS 265, 400, 405, or 412. Credits: (4). Course Homepage: No homepage submitted. In this course students are introduced to the concepts and applications of statistical methods and data analysis. STATS 350 has no prerequisite and has been elected by students whose mathematics background includes only high school algebra. Examples of applications are drawn from virtually all academic areas and some attention is given to statistical process control methods. The course format includes lectures (3 hours per week) and a laboratory (1.5 hours per week). The laboratory section deals with the computational aspects of the course and provides a forum for review of lecture material. For this purpose, students are introduced to the use of a statistical analysis-computer package. Course evaluation is based on a combination of two examinations, a final examination, weekly homework, and lab participation. Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given. These pages are no longer maintained. Consult the new Course Guide at: http://www.lsa.umich.edu/lsa/cg_subjectlist/0,2030,8,00.html?show=20&termArray=f_04_1510&cgtype=ug This page was created at 1:08 PM on Wed, May 5, 2004. University of Michigan | College of LS&A | Student Academic Affairs | First-Year Handbook | First-Year Information | Parent Handbook | LS&A Bulletin This page maintained by LS&A Advising Technology (webmaster_saa@umich.edu), G255-E Angell Hall Copyright © 2004 The Regents of the University of Michigan, Ann Arbor, MI 48109 USA +1 734 764-1817 Trademarks of the University of Michigan may not be electronically or otherwise altered or separated from this document or used for any non-University purpose.