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
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)
For information on last day to Change Grade Option or Change Variable credit: Dates & Deadlines calendar
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, connect with an Academic Advisor. If you are attempting to completely withdraw after business hours, and have difficulty, please contact the an Academic Advisor 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.
