|
QR Overlay Courses
To satisfy the "overlay component" of the QR requirement, a student must pass one of the specified courses that emphasizes statistical analysis and interpretation of data. Some courses are "statistics classes" with computer labs in which data are analyzed (QR 180, ECON 103, PSYC 205, MATH 101); others are science classes with hands-on labs that involve the analysis and interpretation of data; yet another class examines critical thinking, probability, and statistics from a philosophical perspective (PHIL 209). In an overlay class, students study the framework for data analysis, examine various methods of data collection and measurement, and learn how to represent and summarize data, using various statistical distributions. They also study probability in order to understand sampling and inferential statistics. Advanced topics in QR overlay courses include analysis of variance and multiple regression analysis.