2 classes matched your search criteria.
SOC 3811 is also offered in Spring 2025
SOC 3811 is also offered in Fall 2024
SOC 3811 is also offered in Spring 2024
SOC 3811 is also offered in Fall 2023
SOC 3811 is also offered in Spring 2023
SOC 3811 is also offered in Fall 2022
SOC 3811 is also offered in Spring 2022
SOC 3811 is also offered in Fall 2021
SOC 3811 is also offered in Summer 2021
Spring 2016 | SOC 3811 Section 001: Basic Social Statistics (46223)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Class Attributes:
- UMNTC Liberal Education Requirement
- Times and Locations:
- Regular Academic Session01/19/2016 - 05/06/2016Tue, Thu 01:00PM - 02:15PMUMTC, West BankHanson Hall 1-108
- 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: Soc 1001 recomended. Credit will not be granted if credit has been received for Soc 5811 (Soc 5811 Fall terms only). Undergraduates with strong math background who have completed Soc 3801 are encouraged to register for 5811 in lieu of 3811.
- Class Notes:
- Click this link for more detailed information http://classinfo.umn.edu/?warre046+SOC3811+Spring2016
- Class Description:
- This is an entry-level social statistics course for undergraduate sociology majors. It emphasizes statistical descriptions and inferences of survey data in a learning-by-doing style. Lectures of this course expose students to theoretical bases of statistical methods with rich and diverse examples of sociological issues and cover following topics (1) numerical data description with frequency table, central tendency, and dispersion; (2) graphical data presentation; (3) basics on probability theory and statistical inference; (4) bivariate association and correlation; (5) bivariate regression. Laboratory sessions teach basic computing and data manipulation techniques in the IBM SPSS environment. Students are expected to apply theoretical knowledge to investigate real survey data and complete weekly assignments during laboratory sessions. In addition to attending lectures and labs, students are expected to read 15-20 pages of the text per week. There will be two (2) midterm exams and one (1) final exam. Students will need a scientific calculator for assignments and exams.
- Grading:
- 40% Midterm Exam
20% Final Exam
40% Written Homework - Exam Format:
- multiple choices, true/false questions, and computational problems
- Class Format:
- 65% Lecture
35% Laboratory - Workload:
- 15-20 Pages Reading Per Week
3 Exam(s) - Textbooks:
- https://bookstores.umn.edu/course-lookup/46223/1163
- Instructor Supplied Information Last Updated:
- 31 March 2014
Spring 2016 | SOC 3811 Section 008: Basic Social Statistics (51150)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Class Attributes:
- UMNTC Liberal Education Requirement
- Times and Locations:
- Regular Academic Session01/19/2016 - 05/06/2016Tue 05:30PM - 08:00PMUMTC, West BankBlegen Hall 150
- 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: Soc 1001 recomended. Credit will not be granted if credit has been received for Soc 5811 (Soc 5811 Fall terms only). Undergraduates with strong math background who have completed Soc 3801 are encouraged to register for 5811 in lieu of 3811.
- Class Notes:
- Click this link for more detailed course information: http://classinfo.umn.edu/?bianx001+SOC3811+Spring2016
- Class Description:
- This course will introduce sociology 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 needed to analyze quantitative data provided in the class. In addition to attendance to lectures and labs, students are expected to read 15 pages of the text per week. There will be three exams. Students will need a simple calculator for assignments and exams. This course meets the CLE requirements for the Mathematical Thinking core. We explore the dual nature of social statistics as a body of knowledge with its own logic and way of thinking, and as a powerful tool for understanding and describing social reality. Students in this course are exposed to the mathematic knowledge that underlies key concepts, but they are also shown how each concept applies to real world social science issues and debates. They are asked to demonstrate their mastery of the mathematical concept and its practical application through in-class discussions, problem sets, and exam questions. Students are taught the mathematical foundations of probability and sampling theory; they are taught about sampling distributions; and they are shown the real-world implications of these ideas for how social science knowledge is gained through surveys of randomly sampled observations.
- Grading:
- 70% Midterm Exam
30% Problem Solving - Exam Format:
- multiple choice, computational problems
- Class Format:
- 65% Lecture
35% Laboratory - Workload:
- 15-20 Pages Reading Per Week
3 Exam(s) - Textbooks:
- https://bookstores.umn.edu/course-lookup/51150/1163
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/bianx001_SOC3811_Spring2024.pdf (Spring 2024)
http://classinfo.umn.edu/syllabi/bianx001_SOC3811_Spring2020.pdf (Spring 2020)
http://classinfo.umn.edu/syllabi/bianx001_SOC3811_Spring2019.pdf (Spring 2019) - Instructor Supplied Information Last Updated:
- 3 April 2014
ClassInfo Links - Spring 2016 Sociology Classes
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- http://classinfo.umn.edu/?subject=SOC&catalog_nbr=3811&term=1163
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