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.

Units: 1

Max Enrollment: 30

Crosslisted Courses:

Prerequisites: ECON 101 or ECON 101P 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: Giles, Levine, 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

Notes: