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 or one course in sociology. Fulfillment of the Quantitative Reasoning (QR) component of the Quantitative Reasoning & Data Literacy requirement. Not open to students who have taken or are taking STAT 160, STAT 218, PSYC 105 or PSYC 205.
Instructor: Levine, McKnight, Swingle (Sociology)
Distribution Requirements: SBA - Social and Behavioral Analysis
Degree Requirements: DL - Data Literacy (Formerly QRF); DL - Data Literacy (Formerly QRDL)
Typical Periods Offered: Summer; Spring; Fall
Semesters Offered this Academic Year: Fall; Spring