Spring 2025  |  SOC 3811 Section 001: Social Statistics (51125)

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
 
01/21/2025 - 05/05/2025
Tue, Thu 09:45AM - 11:00AM
UMTC, West Bank
Enrollment Status:
Open (0 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/?knoke001+SOC3811+Spring2025
Class Description:
This is a social statistics course that emphasizes describing data and testing hypotheses. Lectures expose students to the theoretical bases of statistical methods and how to use them in social research. Laboratory sessions teach computing skills and data manipulation techniques. Test problems and lab assignments help students to gain knowledge of basic descriptive and inferential statistics, including frequency distributions, means tests, correlation and regression. Many examples are drawn from diverse sociological topics and illustrated with national survey data.
Who Should Take This Class?:
Sociology majors and students from other disciplines.
Learning Objectives:
Acquire knowledge of basic statistical principles and computation methods, applied to real social data. Ability to read and understand articles that analyze social data.
Grading:
75% Three Exams
25% Two computer data analysis assignments.
Exam Format:
10 problems applying statistical formulas to numerical data using a hand calculator
Class Format:
60% Lecture
40% Laboratory
Workload:
10-35 PowerPoint slides reading per week; 2 computer problem sets; 3 exams.
Textbooks:
https://bookstores.umn.edu/course-lookup/51125/1253
Instructor Supplied Information Last Updated:
22 October 2023

ClassInfo Links - Spring 2025 Sociology Classes

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