S371 | 6853 | Digrazia

2:45PM-3:50PM   MTWR  BH 135

LAB 5:15PM-6:20PM  MTWR

Quantitative analysis is an important component of social science
research and allows researchers to answer questions about single
variables (e.g. how unequally are incomes distributed across a
population?) and about the relationships between two or more variables
(e.g. how does income change as people age?).  This course is designed
to provide students with an introduction to statistical reasoning and
computation as a social research method.  Additionally, outside of
research settings, the skills taught in this course will enable
students to intelligently consume and understand statistics
encountered in everyday life.  The course covers both descriptive and
inferential statistics.  Descriptive statistics are used to describe
the properties of sets of numbers. Inferential statistics make use of
sampling to estimate unknown characteristics of large populations.
Inferential statistics are at the heart of social science research and
are used when it is impractical or impossible to obtain data on an
entire population. Although the course is not particularly
mathematically intensive, a working understanding of basic algebra is