9 courses with the subject STAT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
STAT 001Statistical Thinking1
Statistics provides methods for collecting and analyzing data and generalizing from these results. Statistics is used in a wide variety of fields, and this course provides an understanding of the role of statistics in these fields and in everyday life. It is intended for students who want an appreciation of statistics, including the ability to interpret and evaluate statistical claims critically but who do not imagine they will ever need to carry out statistical analyses themselves. (Those who may need to carry out statistical analyses should take STAT 011 .) This course cannot be counted toward a major in mathematics, is not a prerequisite for any other course, and cannot be taken for credit after or simultaneously with any other statistics course, including AP Statistics and ECON 031 .
Placement through Swarthmore’s Math/Stat Readiness Examination. Natural science and engineering. 1 credit. Fall 2026. Steuerle-Schofield Catalog chapter: Mathematics and Statistics Department website: http://www.swarthmore.edu/mathematics-statistics Access the class schedule to search for sections.
STAT 011Statistical Methods I1
This course prepares students to carry out basic statistical analyses using computer software. Topics include summary statistics and graphics, design of surveys and experiments, one and two-sample t-tests and tests of proportions, and an introduction to simple linear regression. The course is intended for students who want a practical introduction to statistical methods. Students may not receive credit for both Stat 011 and AP Statistics. Note that the material of STAT 011 overlaps with ECON 031 , but these courses have different emphasis.
Placement through Swarthmore’s Math/Stat Readiness Examination. Natural science and engineering. 1 credit. Fall 2026. Everson. Spring 2027. Staff. Fall 2027 Staff. Spring 2028 Staff. Catalog chapter: Mathematics and Statistics Department website: http://www.swarthmore.edu/mathematics-statistics Access the class schedule to search for sections.
STAT 021Statistical Methods II1
This is a second course in applied statistics that extends methods taught in STAT 011 . Topics include multiple linear regression, analysis of variance, and logistic regression.
Credit for AP Statistics; or a grade of C- or better in STAT 011 or ECON 031 ; or a grade of B or better in STAT 001 with departmental approval. Natural science and engineering. 1 credit. Eligible for COGS Fall 2026. Ricci. Spring 2027. Staff. Fall 2027 Staff. Spring 2028 Staff. Catalog chapter: Mathematics and Statistics Department website: http://www.swarthmore.edu/mathematics-statistics Access the class schedule to search for sections.
STAT 041Topics in Statistics1
Topics vary by year. Previous topics have included statistics and public policy projects, Bayesian statistics, data science, and quantitative paleontology.
Varies according to the topic. Natural science and engineering. Writing course. 1 credit. Eligible for GLBL-Core Catalog chapter: Mathematics and Statistics Department website: http://www.swarthmore.edu/mathematics-statistics Access the class schedule to search for sections.
STAT 051Probability1
Introduction to the mathematical theory of probability. Topics include sample spaces and events, conditional probability and Bayes’ theorem, univariate probability and density functions, expectation and variance, moment generating functions, Binomial, Negative Binomial, Poisson, Normal, t, Gamma and Beta distributions, joint, marginal and conditional distributions, independence, transformations, the multivariate Normal distribution, the law of large numbers and the central limit theorem.
A grade of C- or better in one of MATH 033 , MATH 034 , or MATH 035 ; or concurrent enrollment in MATH 034 or MATH 035 and a grade of C- or better in MATH 027 or MATH 028 . Natural Science and Engineering 1 credit. Eligible for COGS Spring 2027. Staff. Spring 2028 Staff. Catalog chapter: Mathematics and Statistics Department website: http://www.swarthmore.edu/mathematics-statistics Access the class schedule to search for sections.
STAT 061Mathematical Statistics I1
Introduction to the mathematical theory of frequentist and Bayesian statistical inference. Topics include parameter estimation, confidence intervals and hypothesis testing, linear regression methods and Bayesian inference. Students needing to learn applied statistics and data analysis should consider STAT 021 in addition to or instead of this course.
A grade of C- or better in STAT 051 , and a grade of C- or better in, or placement out of, MATH 027 or MATH 028 . STAT 011 or equivalent and some experience with computing are strongly recommended. Natural Science and Engineering 1 credit. Eligible for COGS Fall 2026. Steuerle-Schofield. Fall 2027 Staff. Catalog chapter: Mathematics and Statistics Department website: http://www.swarthmore.edu/mathematics-statistics Access the class schedule to search for sections.
STAT 071Topics in Probability1
This is an advanced course in the mathematics of probability theory focusing on results and techniques beyond the scope of stat 51. The course will involve neither data nor real analysis. Exact subject matter may slightly change based on student background and interest, but topics may include martingales, random walks, concentration inequalities, stochastic processes, Markov chains, random sums, random finite structures, and central limit theorems.
A grade of C- or better in STAT 051 or departmental approval. Natural science and engineering. 1 credit. Access the class schedule to search for sections.
STAT 093Directed Reading
Graded CR/NC. May be taken multiple times for credit.
This seminar is a continuation of STAT 051 and STAT 061. It deals mainly with statistical models for the relationships among variables. The theory of linear regression models is examined in detail. Other topics may include theory for generalized linear models (including logisitic regression), Bayesian inference, and nonparametric statistics.
A grade of B- or better in STAT 061 . Natural science and engineering. 1 credit. Eligible for COGS Spring 2027. Staff. Spring 2028 Staff. Catalog chapter: Mathematics and Statistics Department website: http://www.swarthmore.edu/mathematics-statistics Access the class schedule to search for sections.
