2 classes matched your search criteria.

Spring 2015  |  SOC 3811 Section 001: Basic Social Statistics (46017)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/20/2015 - 05/08/2015
Tue, Thu 09:45AM - 11:00AM
UMTC, West Bank
Anderson Hall 250
Also Offered:
Course Catalog Description:
Descriptive statistics. Measures of central tendency, deviation, association. Inferential statistics focusing on probability/hypothesis testing. T-tests, Chi-square tests, variance analysis, bivariate regression. Statistical software used to analyze sociological data. prereq: 1001 recommended, Undergraduates with strong math background who have completed Soc 3801 are encouraged to register for 5811 in lieu of 3811. Currently, 5811 only offered in fall. Credit will not be granted if credit has been received for 5811. Soc majors/minors must register A-F.
Class Description:
This is a social statistics course for undergraduate sociology majors. 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.
Grading:
25% Laboratory Evaluation
75% Other Evaluation Other Grading Information: Three exams during semester
Exam Format:
Computation of statistics problems
Class Format:
67% Lecture
33% Laboratory
Workload:
10 Pages Reading Per Week
10 Pages Writing Per Term
3 Exam(s)
Textbooks:
https://bookstores.umn.edu/course-lookup/46017/1153
Instructor Supplied Information Last Updated:
5 October 2009

Spring 2015  |  SOC 3811 Section 008: Basic Social Statistics (51291)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/20/2015 - 05/08/2015
Tue 06:20PM - 08:50PM
UMTC, West Bank
Blegen Hall 120
Also Offered:
Course Catalog Description:
Descriptive statistics. Measures of central tendency, deviation, association. Inferential statistics focusing on probability/hypothesis testing. T-tests, Chi-square tests, variance analysis, bivariate regression. Statistical software used to analyze sociological data. prereq: 1001 recommended, Undergraduates with strong math background who have completed Soc 3801 are encouraged to register for 5811 in lieu of 3811. Currently, 5811 only offered in fall. Credit will not be granted if credit has been received for 5811. Soc majors/minors must register A-F.
Class Description:
This course is designed to familiarize students with fundamental statistical concepts and techniques. Because this is a sociology course, most of the examples and demonstrations will be drawn from the social sciences; however, the concepts and techniques presented in the course apply much more broadly to other disciplines and to other arenas of life. I do not expect students to become expert statisticians, but I do expect them to gain an understanding of how statistics can be used to address key social science questions. My goal is for students to become knowledgeable and critical consumers of statistical information that appears in the media, in the workplace, and elsewhere. This course includes overviews of the logic of sampling and causal inference; techniques for graphically and numerically describing distributions; the normal curve; relationships between quantitative variables; relationships between categorical variables; analysis of variance; probability; random variables; sampling distributions; statistical inference; confidence intervals; hypothesis testing; bivariate linear regression; analysis of covariance; multiple linear regression; and binary logistic regression. Students will gain basic familiarity with the statistical software package Stata.
Grading:
35% Midterm Exam
15% Final Exam
10% Class Participation
40% Other Evaluation Other Grading Information: Homework problem sets
Exam Format:
Short answer math problems, usually asking for interpretation of results and/or statistical concepts
Class Format:
40% Lecture
40% Laboratory discussion/small group work
Workload:
30 Pages Reading Per Week
3 Exam(s)
Other Workload: One or two chapters of reading per week; three exams; six individual homework problem sets
Textbooks:
https://bookstores.umn.edu/course-lookup/51291/1153
Instructor Supplied Information Last Updated:
8 December 2014

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