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Instructor Class Description

Time Schedule:

Mark S. Handcock
CS&SS 321
Seattle Campus

Case-Based Social Statistics I

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 SOC 321/STAT 321; W.

Class description

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.

Recommended preparation

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.

The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
For additional information see
Last Update by Mark S. Handcock
Date: 01/05/2002