There are several flavors of introductory statistics that cover similar core ideas, but with different emphases and different levels of presentation. All are offered each semester.
- Statistics 110 (AQR) – More conceptual presentation. Geared toward students in the social sciences and those seeking AQR credit. Exposure to SPSS software. 35 seats reserved for first-years each fall.
- Statistics 212 (AQR) – More mathematics and computation, but no calculus prerequisite. Will be taken by many natural science students, but broad range of applications. Exposure to R software. Class limits for seniors, so ideal to take earlier in one’s career.
- Statistics 214 (AQR) – Honors version of Stat 212, with more topics and greater depth. Calculus prerequisite. A good transition into the statistics concentration core courses for AP Statistics students (even those with scores of 4-5), and a nice pace for math majors. Stat 110 students might even consider this course as preparation for the statistics core courses.
- Economics 263 – The required intro course for Economics majors (unless they take Stat 272 followed by Econ 385). Focus on economics methods and applications. Prerequisites of Calculus and Econ 110-121.
There are two core courses in the statistics concentration:
- Statistics 272 (WRI) – The regression methods learned will enable the analysis of rich, real, complex data from a variety of sources. Prerequisite of an introductory statistics course; students with 4-5 on AP Statistics are encouraged to consider Stat 214 first or talk with instructor. Uses R software extensively. Offered every semester.
- Statistics 316 – Case studies students can handle are expanded through models not often taught at the undergraduate level (e.g. longitudinal data analysis). Prerequisite of Stat 272. Offered every spring. Math-Econ students are allowed to substitute Econ 385 for Stat 316.
There are many electives that count toward the statistics concentration; concentrators need 2 electives in addition to the 2 core courses. Here’s a note on each:
- Statistics 270 – Nice second course for social science majors. Can serve as transition into the core sequence. Prerequisite of intro stats. Offered alternate fall semesters.
- Statistics 302 – Good for natural science majors, those interested in public and global health, and those interested in applied stat methods in general. Prerequisite of Stat 272. Offered alternate fall semesters.
- Statistics 322 – The mathematical theory behind methods used in intro stats and Stat 272, plus an introduction to Bayesian statistics and computer-intensive methods. Prerequisite of Math 262. Uses R extensively. Offered every fall.
- Computer Science 125 – Crucial skills in statistical computing, general programming, and data visualization. Uses R and Python extensively. Valuable early in one’s career, and for anyone who wants to thrive in this era of Big Data. Typically offered every semester.
- Economics 385 – Important analytical methods for economics majors. Prerequisites of Stat 263 (or equivalent) and Econ 261 or 262. Offered every fall.
- Math 262 – Probability is the mathematical foundation for much of statistics. Prerequisite of Calculus II. Offered every semester.
- Psych 230 / SOAN 371 – Required research methods courses in psychology and sociology which build upon introductory statistics