Fall 2023  |  SOC 3811 Section 001: Social Statistics (17316)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/05/2023 - 12/13/2023
Tue, Thu 08:15AM - 09:30AM
UMTC, West Bank
Anderson Hall 270
Enrollment Status:
Open (165 of 180 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: Undergraduates with strong math background are encouraged to register for 5811 in lieu of 3811 (Soc 5811 offered Fall terms only). Soc Majors/Minors must register A-F.
Class Notes:
Click this link for more detailed course information: http://classinfo.umn.edu/?mesposit+SOC3811+Fall2023
Class Description:
In this course, you will be introduced to descriptive and inferential statistical tools commonly used in sociological research. Topics include data visualization, summary statistics, probability distributions, confidence intervals, hypothesis testing, and linear regression. Students will learn and use statistical software to complete assignments. The overarching goal of the course is to provide you with the foundation to understand and critique data-driven arguments about the social world. Additionally, the skills developed in this course will prepare you to engage with even more sophisticated statistical material down the line.
Grading:
Attendance (5%); Homework (45%); Midterm Data Analysis Project (25%); Final Analysis Project (25%)
Exam Format:
(1) Descriptive Data Analysis Midterm. The midterm assignment will provide students with an opportunity to synthesize the descriptive statistical tools covered in class up until that point. The midterm project will ask students to preform an independent, descriptive data analysis on a data set provided by the instructor. Some course time will be allotted for students to work on their midterm projects. The midterm project will be delivered in the form of a short research report (5-7 pages).

(2) Inferential Data Analysis Final. The final project will allow students to practice the inferential statistical skills acquired in class. This project will ask students to preform an independent analysis of a data set provided by the instructor that makes use of inferential statistical tools, thinking, and procedures. Like the midterm, some course time will be provided for students to work on their final projects. The final will be delivered in the form of a research report (5-7 pages).
Class Format:
Class will meet twice a week for lecture and once for lab.
Workload:
Weekly homework will be assigned throughout the semester to allow students to apply the concepts discussed in lecture. Students will also complete a midterm and final project that will allow them to synthesize the statistical skills they acquire over the course of the semester.
Textbooks:
https://bookstores.umn.edu/course-lookup/17316/1239
Instructor Supplied Information Last Updated:
1 May 2023

ClassInfo Links - Fall 2023 Sociology Classes

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