Fall 2020  |  SOC 3811 Section 001: Social Statistics (13492)

Class Component:
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Meets With:
SOC 5811 Section 001
Times and Locations:
Regular Academic Session
09/08/2020 - 12/16/2020
Tue, Thu 09:45AM - 11:00AM
Off Campus
Enrollment Status:
Open (217 of 234 seats filled)
Also Offered:
Course Catalog Description:
This course will introduce majors and non-majors to basic statistical measures and procedures that are used to describe and analyze quantitative data in sociological research. The topics include (1) frequency and percentage distributions, (2) central tendency and dispersion, (3) probability theory and statistical inference, (4) models of bivariate analysis, and (5) basics of multivariate analysis. Lectures on these topics will be given in class, and lab exercises are designed to help students learn statistical skills and software needed to analyze quantitative data provided in the class. prereq: Credit will not be granted if credit has been received for Soc 5811 (Soc 5811 offered Fall terms only). Undergraduates with strong math background are encouraged to register for 5811 in lieu of 3811. Soc Majors/Minors must register A-F.
Class Notes:
This course is completely online in a synchronous format. The course will meet online at the scheduled times. Lab sections WILL meet the first week of class. Click this link for more detailed course information: http://classinfo.umn.edu/?warre046+SOC3811+Fall2020
Class Description:
This course is designed to familiarize students with fundamental statistical concepts and techniques. Because this is a sociology course, most of the examples and demonstrations will be drawn from the social sciences; however, the concepts and techniques presented in the course apply much more broadly to other disciplines and to other arenas of life. I do not expect students to become expert statisticians, but I do expect them to gain an understanding of how statistics can be used to address key social science questions. My goal is for students to become knowledgeable and critical consumers of statistical information that appears in the media, in the workplace, and elsewhere. This course includes overviews of the logic of sampling and causal inference; techniques for graphically and numerically describing distributions; the normal curve; relationships between quantitative variables; relationships between categorical variables; analysis of variance; probability; random variables; sampling distributions; statistical inference; confidence intervals; hypothesis testing; bivariate linear regression; analysis of covariance; multiple linear regression; and binary logistic regression. Students will gain basic familiarity with the statistical software package Stata.
35% Midterm Exam
15% Final Exam
10% Class Participation
40% Other Evaluation Other Grading Information: Homework problem sets
Exam Format:
Short answer math problems, usually asking for interpretation of results and/or statistical concepts
Class Format:
40% Lecture
40% Laboratory discussion/small group work
30 Pages Reading Per Week
3 Exam(s)
Other Workload: One or two chapters of reading per week; three exams; six individual homework problem sets
Instructor Supplied Information Last Updated:
8 December 2014

ClassInfo Links - Fall 2020 Sociology Classes

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