UW-Madison SOC 360 - Sociology 360 Syllabus (8 pages)

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Sociology 360 Syllabus



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Sociology 360 Syllabus

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Pages:
8
School:
University of Wisconsin, Madison
Course:
Soc 360 - Statistics for Sociologists I

Unformatted text preview:

Sociology 360 Statistics for Sociologists I Lecture 1 Spring 2007 Instructor Kubilay Gok MS MSHRLR PhD Candidate Anticipated August 2007 Office 7107 Sewell Social Science Building Email kgok wisc edu kgok uwm edu kgok stritch edu kubilaygok gmail com Phone 262 1169 Office Hours Monday 1 30 3 30 TA Laura Heidemann Office 7110 Sewell Social Science Building Email lheideman wisc edu Phone 262 3569 Office Hours Thursday 1 00 3 00 or by appointment Lectures 11 00 12 15 Tuesday Thursday Place 1217 HUMANITIES Labs LAB 321 1 20 3 15 Monday 6310 SOC SCI Labs LAB 322 7 45 9 40 Friday 6113 SOC SCI Turn off your cell phones at the beginning of lecture and lab Course Description This course is an introduction to statistical methods as applied to social sciences No prior course in statistics is required but knowledge of beginning algebra will greatly facilitate your learning the material The focus of this course is on basic statistics and research tools which are useful in conducting experiments and describing data It is an introduction to basic statistical tools and methods and therefore it is not expected that you will leave this course knowing all the basic research tools but this course will lay the groundwork for conducting your own research reading or writing research articles and evaluating daily real world information reported by various sources Prerequisites Sophomore standing and basic algebra skills Required text Moore Davis S 2007 The Basic Practice of Statistics 4th edition New York W H Freeman Where to Purchase Available at University Bookstore Computing A calculator that can perform all basic mathematical operations will be necessary for homework and exam problems as well as in class exercises The calculator must be able to compute square roots and powers and have some statistical functions mean standard deviation correlation and regression built in Moore provides some advice and recommendations You are responsible for learning how to use the statistical functions



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