Fall 2020  |  SOC 5811 Section 001: Social Statistics for Graduate Students (13498)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Enrollment Requirements:
Exclude fr or soph 5000 level courses
Meets With:
SOC 3811 Section 001
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Tue, Thu 09:45AM - 11:00AM
Off Campus
UMN REMOTE
Enrollment Status:
Open (5 of 6 seats filled)
Also Offered:
Course Catalog Description:
This course will introduce 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. Soc 5811 is intended for new graduate students, undergraduate honors students, and students pursuing the Sociology BS degree. prereq: Credit will not be granted if credit has been received for Soc 3811 (Soc 5811 offered Fall terms only). 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.
Class Notes:
This course is completely online in a synchronous format. The course will meet online at the scheduled times. http://classinfo.umn.edu/?warre046+SOC5811+Fall2020
Class Description:
This is a social statistics course for sociology graduate students and undergraduate honors students. It meets for lectures with SOC3811, but has a separate weekly lab session. It 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:
100% Three computer data analysis assignments.
Exam Format:
Computations
Short Answer
Class Format:
60% Lecture
40% Laboratory
Workload:
10-35 PowerPoint slides reading per week; 3 computer problem sets; no exams
Textbooks:
https://bookstores.umn.edu/course-lookup/13498/1209
Instructor Supplied Information Last Updated:
24 March 2017

ClassInfo Links - Fall 2020 Sociology Classes

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