Math 1203: Statistics for Social Science Course Description: Applications of statistics in the social sciences. Analysis and interpretation of statistical models. Sampling techniques, common flaws and errors in sampling and in using statistics. Descriptive statistics, levels of measurement, measures of central tendency and dispersion. Contingency tables and measures of association for categorical variables. Correlation and linear regression. Probability and frequency distributions. Parametric and non-parametric inferential statistics. Confidence intervals and hypothesis testing. 3 credits. Who takes this course: This course is for students majoring in sociology, political science, social work, social and behavioral sciences, criminal justice, diplomacy, or anthropology. However, it is open to anyone interested in an introductory statistics course. This course satisfies part C of the “core curriculum” of the School of Arts and Sciences. Prerequisite: To be eligible for this course you must have received credit for MATH 0012 (Dev. Math 2), or you must have placed into “Category 2” according to the math portion of your SAT score or the Math placement test. Final Exam Schedule, Fall 2004: Section BA (1pm class): December 16, 8:45am, usual classroom Section BB (2:30 class): December 14:, 10:45am, usual classroom Remember, SPSS 3 is due on the day of the Final

General Information Syllabus SPSS Assignments SPSS Project 1 SPSS Project 2 SPSS Project 3 and Data Practice Exams Exam 1 (Practice) Exam 2 (Practice) Final Exam Practice Notes and Resources GSS 1996 Data Set GSS 2002 Data part a part b part c Class Survey Data MS Journal Viewer Table of z-Scores Table of t-Scores Lectures Section BA Section BB Lect19 Lect18 Lect17 Lect16 Lect15 PrEx2 Lect14 WS QZ Lect13 Lect12 Lect11 Lect10 Lect9 Lect8 Lect7 Lect6 Lect5 Lect4 Lect3 Lect2 Lect1 Lect19 Lect18 Lect17 Lect16 Lect15 PrEx2 Lect14 WS QZ Lect13 Lect12 Lect11 Lect10 Lect9 Lect8 Lect7 Lect6 Lect5 Lect4 Lect3 Lect2 Lect1

Bert G. Wachsmut