Fall 2021  |  SOC 3811 Section 001: Social Statistics (18834)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Meets With:
SOC 5811 Section 001
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Tue, Thu 09:45AM - 11:00AM
UMTC, West Bank
Anderson Hall 210
Enrollment Status:
Open (171 of 174 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:
Sociology majors have priority registration for 15 reserved seats through 4/22/21. Click this link for more detailed course information: http://classinfo.umn.edu/?knoke001+SOC3811+Fall2021
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:
Computations
Short Answer
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/18834/1219
Instructor Supplied Information Last Updated:
4 November 2019

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