Although it is not yet possible to have an undergraduate major in Statistics, there are many opportunities for undergraduates to learn about statistics as a possible career or as a complement to other majors.
Students interested in focusing on statistics are encouraged to consider a minor in Statistics along with a major in a field of interest. The minor in Statistics is designed to provide students with exposure to both statistical theory and practice.
Statistics Department's undergraduate offerings:
Stats 7: Basic Statistics
Introduces basic inferential statistics including confidence intervals and hypothesis testing on means and proportions, t-distribution, Chi Square, regression and correlation. F-distribution and nonparametric statistics included if time permits.Stats 8: Introduction to Biostatistics
This course teaches introductory statistical techniques used to collect and analyze experimental & observational data from health sciences and molecular, cellular, environmental and evolutionary biology. Specific topics include exploration of data, producing data, probability & sampling distributions, basic statistical inference for means, proportions, linear regression & analysis of variance
Stats 67: Introduction to Probability and Statistics for Computer Science
Introduction to the basic concepts of probability and statistics with discussion of applications to computer science. Specific topics include axioms of probability, random variables, expectation and variance, joint distributions, and elementary statistical inference.Stats 120A: Introduction to Probability and Statistics
This is the first of a three-quarter upper division calculus-based introduction to probability and statistics. This course introduces probability and randomStats 120B: Introduction to Probability and Statistics
Stats 120C: Introduction to Probability and Statistics
This is the second of a three-quarter upper division calculus-based introduction to probability and statistics. This course introduces the key ideas in statistical inference including point estimation, confidence intervals and significance testing.
This is the third of a three-quarter upper division calculus-based introduction to probability and statistics. This course introduces two sample methods, categorical data analysis, linear regression analysis.