This project-based course covers the study of statistics for the analysis of sociological data and the study of methods for quantitative sociological research more generally. Topics in statistics include descriptive statistics, probability theory, correlation, deduction and induction, error and bias, confidence intervals, and simple linear regression. Topics in research methods will include positivism, research design, measurement, sampling methods, and survey design. All students will participate in a lab, which emphasizes the use of computer software to analyze real data.

This project-based course covers the study of statistics for the analysis of sociological data and the study of methods for quantitative sociological research more generally. Topics in statistics include descriptive statistics, probability theory, correlation, deduction and induction, error and bias, confidence intervals, and simple linear regression. Topics in research methods will include positivism, research design, measurement, sampling methods, and survey design. All students will participate in a lab, which emphasizes the use of computer software to analyze real data.

This project-based course covers the study of statistics for the analysis of sociological data and the study of methods for quantitative sociological research more generally. Topics in statistics include descriptive statistics, probability theory, correlation, deduction and induction, error and bias, confidence intervals, and simple linear regression. Topics in research methods will include positivism, research design, measurement, sampling methods, and survey design. All students will participate in a lab, which emphasizes the use of computer software to analyze real data.

For first-year students and sophomores; juniors and seniors with permission of the course director. Perspectives on society, culture and social interaction. Topics may include the self, emotions, culture, community, class, race and ethnicity, family, gender, and economy. Enrollment limited to 30.

For first-year students and sophomores; juniors and seniors with permission of the course director. Perspectives on society, culture and social interaction. Topics may include the self, emotions, culture, community, class, race and ethnicity, family, gender, and economy. Enrollment limited to 30.

For first-year students and sophomores; juniors and seniors with permission of the course director. Perspectives on society, culture and social interaction. Topics may include the self, emotions, culture, community, class, race and ethnicity, family, gender, and economy. Enrollment limited to 30.

For first-year students and sophomores; juniors and seniors with permission of the course director. Perspectives on society, culture and social interaction. Topics may include the self, emotions, culture, community, class, race and ethnicity, family, gender, and economy. Enrollment limited to 30.

(Formerly MTH/SDS 291). Theory and applications of regression techniques; linear and nonlinear multiple regression models, residual and influence analysis, correlation, covariance analysis, indicator variables and time series analysis. This course includes methods for choosing, fitting, evaluating and comparing statistical models and analyzes data sets taken from the natural, physical and social sciences. Prerequisite: one of the following: SDS 201, PSY 201, GOV 203, SDS 220, ECO 220, or the equivalent or a score of 4 or 5 on the AP Statistics examination.

(Formerly MTH/SDS 291). Theory and applications of regression techniques; linear and nonlinear multiple regression models, residual and influence analysis, correlation, covariance analysis, indicator variables and time series analysis. This course includes methods for choosing, fitting, evaluating and comparing statistical models and analyzes data sets taken from the natural, physical and social sciences. Prerequisite: one of the following: SDS 201, PSY 201, GOV 203, SDS 220, ECO 220, or the equivalent or a score of 4 or 5 on the AP Statistics examination.