
PS 100A/200A: Statistical Analysis for Political Science I





Welcome to the webpages of Political Science 100A/200A, Statistical Analysis for Political Science I, the first course in the Political Science Department's 3 course sequence on statistical methodology.
This course is a graduatelevel introduction to data analysis for political
scientists. "Why not just take statistics from statisticians?" you
might ask. There are two main reasons. First, this course is designed
for students with a broad range of prior exposures to the subject, which is
typically the case for incoming political science graduate students. The
course assumes no prior mathematical or statistical knowledge, except for
some recollection of algebra. Nonetheless, certain topics unlikely to be
stressed in a really basic introductory statistics course will be
covered. The math behind these will be shown in class but you will not
be required to reproduce or extend it in problem sets or on the fi nal. The
Prerequisites: None, as noted above, except for algebra. Some memory of basic calculus will be helpful, since some material that uses it will be covered. However this is certainly not necessary (for example, the main text uses no calculus and barely any algebra). Requirements: Four problem sets and one takehome fi nal. Formation of 24 person study groups for mutual support on the problem sets is strongly encouraged, as this seems to facilitate learning. For the applied statistics problems, we will use STATA, which is available in either the Political Science's Computer Cluster (for Political Science Ph.D. students), or in some other clusters on campus, for example Social Science Reading Room in Green Library and 2nd floor of Meyer Library . The class meets at 11: 00  12:15 MW and occasional Fridays at CERAS 304. Current upload news (HW, answer key, handout etc.) and other notices will be posted on this page (see below), so you may want to add this page to your bookmarks. 



The instruction on
accessing/installing Stata is here,
"Getting Stata". Section Information (you can also download handouts)
