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Fall 2023

 

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Sociology (SOC)
736 Prince Lucien Campbell, 541-346-5002
College of Arts & Sciences
Course Data
  SOC 312   Statistical Analy Soc 4.00 cr.
Construction and interpretation of tables and graphs, descriptive statistics, measures of association and contingency relationships, basic ideas of probability, and elementary statistical inference applied to nonexperimental research.
Grading Options: Optional; see degree guide or catalog for degree requirements
Instructor: Gullickson AE-mail Office:   727 PLC
Phone:   (541) 346-5061
Course Materials
 
  CRN Avail Max Time Day Location Instructor Notes
  14691 42 75 0900-1150 f 240C MCK Gullickson A  

Final Exam:

1015-1215 t 12/05 240C MCK
Academic Deadlines
Deadline     Last day to:
September 24:   Process a complete drop (100% refund, no W recorded)
September 30:   Drop this course (100% refund, no W recorded; after this date, W's are recorded)
September 30:   Process a complete drop (90% refund, no W recorded; after this date, W's are recorded)
October 1:   Process a complete withdrawal (90% refund, W recorded)
October 1:   Withdraw from this course (100% refund, W recorded)
October 2:   Add this course
October 2:   Last day to change to or from audit
October 8:   Process a complete withdrawal (75% refund, W recorded)
October 8:   Withdraw from this course (75% refund, W recorded)
October 15:   Process a complete withdrawal (50% refund, W recorded)
October 15:   Withdraw from this course (50% refund, W recorded)
October 22:   Process a complete withdrawal (25% refund, W recorded)
October 22:   Withdraw from this course (25% refund, W recorded)
November 12:   Withdraw from this course (0% refund, W recorded)
November 12:   Change grading option for this course
Caution You can't drop your last class using the "Add/Drop" menu in DuckWeb. Go to the “Completely Withdraw from Term/University” link to begin the complete withdrawal process. If you need assistance with a complete drop or a complete withdrawal, please contact the Office of Academic Advising, 101 Oregon Hall, 541-346-3211 (8 a.m. to 5 p.m., Monday through Friday). If you are attempting to completely withdraw after business hours, and have difficulty, please contact the Office of Academic Advising the next business day.

Expanded Course Description
This course will teach the fundamentals of analyzing numerical data in a social science context. Students will learn effective ways of presenting informational summaries, the use of statistical inference from samples to populations, the linear model that forms the basis of much social science research, and the ability to think critically about how to consume statistical information. Emphasis will be on an intuitive understanding of statistical results, and on their practical application.
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Release: 8.11