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 required.