An introduction to the collection, analysis, interpretation, and presentation of quantitative data as used to understand problems in economics and sociology. Using examples drawn from these fields, this course focuses on basic concepts in probability and statistics, such as measures of central tendency and dispersion, hypothesis testing, and parameter estimation. Data analysis exercises are drawn from both academic and everyday applications.
Max Enrollment: 30
Prerequisites: ECON 101, ECON 102, or one course in sociology and fulfillment of the basic skills component of the Quantitative Reasoning requirement. Not open to students who have taken or are taking STAT 160, STAT 218 or PSYC 205 (or MATH 220 during or before Spring 2018.)
Instructor: Levine, McKnight, Swingle (Sociology)
Distribution Requirements: SBA - Social and Behavioral Analysis
Degree Requirements: QRF - Quantitative Reasoning - Overlay
Typical Periods Offered: Summer; Spring; Fall
Semesters Offered this Academic Year: Spring; Fall