Data Collect & Anlys

Introduction to research design in sociology. How social science data are obtained and analyzed. How data are used to describe and draw conclusions about social phenomena. Surveys, sampling, interviews, observation, and field methods. Prerequisites: One course in STATISTC.

Data Collect & Anlys

Introduction to research design in sociology. How social science data are obtained and analyzed. How data are used to describe and draw conclusions about social phenomena. Surveys, sampling, interviews, observation, and field methods. Prerequisites: One course in STATISTC.

Data Collect & Anlys

Introduction to research design in sociology. How social science data are obtained and analyzed. How data are used to describe and draw conclusions about social phenomena. Surveys, sampling, interviews, observation, and field methods. Prerequisites: One course in STATISTC.

Elem Statistics

Introduction to basic statistics employed in the sociological analyses. Descriptive statistics, probability, sampling distributions, inferential statistics, tests of significance, contingency tables, measures of correlation, etc. (Gen.Ed. R2)

Elem Statistics

Introduction to basic statistics employed in the sociological analyses. Descriptive statistics, probability, sampling distributions, inferential statistics, tests of significance, contingency tables, measures of correlation, etc. (Gen.Ed. R2)

Elem Statistics

Introduction to basic statistics employed in the sociological analyses. Descriptive statistics, probability, sampling distributions, inferential statistics, tests of significance, contingency tables, measures of correlation, etc. (Gen.Ed. R2)

Women and Work

This course will examine the role of women at a variety of workplaces from historical, economic, sociological, and political points of view. Among areas considered: discrimination, health care, women in the labor movement and in management, and civil rights legislation. (Gen. Ed. SB, DU)

Intro/Stat with Impact Mindset

This course introduces students to statistical software and visualization methods in the context of applications with high social impact. It is designed for students with limited or no background in statistics, who might be interested in learning more about statistics before deciding about future study. It is vertically-integrated to also show students the potential of more advanced statistical methods.
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