SOC 5811: Social Statistics for Graduate Students

4 CreditsMathematical Thinking

In this course, students will learn core statistical and computations principles that will allow them to perform quantitative analyses using social data. The course is designed for social science students at the beginning of their graduate school careers. However, advanced undergraduates can take the course, which will involve a few modifications to the assignment schedule. Sociology 5811 will review basic probability, and then move on to univariate inference, the linear regression model, and introductory lessons of causal inference. In doing so, students will explore statistical concepts and methods that provide the foundation sociologists use to most commonly collect and analyze numerical evidence. Sociology 5811 will also provide the foundation for data management and statistical inference using Stata, a statistical computing environment that is popular in the social sciences. prereq: Undergraduate students are expected to have familiarity with the materials taught in the equivalent of 3811. Students who are unsure of the course requirements should contact the instructor. Undergraduates with a strong math background are encouraged to register for 5811 in lieu of 3811. Soc majors must register A-F. 5811 is a good social statistics foundation course for MA students from other programs. 5811 will not count for credits towards the Soc PhD program requirements.

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A- Average (3.737)Most Common: A (70%)

This total also includes data from semesters with unknown instructors.

33 students
FDCBA
  • 3.93

    /5

    Recommend
  • 4.50

    /5

    Effort
  • 4.11

    /5

    Understanding
  • 3.63

    /5

    Interesting
  • 4.36

    /5

    Activities


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