Mark S. Handcock
Introduction to statistical reasoning for social scientists. Built around cases representing in-depth investigations into the nature and content of statistical and social-science principles and practice. Hands-on approach: weekly data-analysis laboratory. Fundamental statistical topics: measurement, exploratory data analysis, probabilistic concepts, distributions, assessment of statistical evidence. Offered: jointly with CS&SS/SOC 321.
CSSS 321 is an introductory course in statistical reasoning for social science students that emphasizes the use of cases addressing substantive questions.
Student learning goals
General method of instruction
There will be three lectures, a “laboratory” session, and a “question session” each week.
develop a curiosity about the world
Class assignments and grading
The grade for this class will be based on a mid-quarter exam (30%), a final exam (30%), laboratory work (20%) and homework assignments (20%). The assignments and laboratory work will involve the analysis of real data sets using appropriate computer software.