5 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.
Topics are methods of description, measures of location and dispersion, simple linear regression, normal distributions, sampling distributions, interval estimation, and significance tests of proportions. Applications in both physical and social sciences.
Statistical inference for surveys and controlled experiments. Use of a statistical computer package required. Measures of central tendency and dispersion, normal, binomial, and t- distributions; Fisher’s exact test, sampling distributions; estimation and significance testing; analysis of variance; linear regression and correlation and commonly used transformations. (Q, QL)
An introduction to skills necessary for data wrangling and other modern techniques of statistical interpretation. Students will learn and practice techniques for acquiring, tidying, Hollins University 2026–27 Undergraduate Catalog Page 319
An introduction to combinatorial analysis, the axioms of probability, conditional probability, independence, discrete and continuous random variables, expectation and moment generating functions and stochastic processes. Students will actively investigate probabilistic situations and perform simulations. Open to first-year students.
The analysis of continuous response data. The focus is on linear and multiple regression with theoretical and practical training in statistical modeling. This is a hands-on, applied course where students will become proficient using R-Studio and Minitab to analyze data from a variety of fields and will learn what assumptions underlie their models, how to test whether the data meet the assumptions, and what can be done when the assumptions are not met. COURSES IN COMPUTER SCIENCE:
Source: Hollins University's catalog, linked per course · table learning_unit · CourseShelf publish 59
