PA

Prince Afriyie

Assistant Professor
Unit: College of Arts and Sciences
Department: Department of Statistics
Office location and address
148 Amphitheater Way
Charlottesville, Virginia 22904
STAT 1601: Introduction to Data Science with R
Credits: 3
This course provides an introduction to the process of collecting, manipulating, exploring, analyzing, and displaying data using the statistical software R. The collection of elementary statistical analysis techniques introduced will be driven by questions derived from the data. The data used in this course will generally follow a common theme. No prior knowledge of programming, data science, or statistics is required.
STAT 2120: Introduction to Statistical Analysis
Credits: 4
Introduction to the probability and statistical theory underlying the estimation of parameters and testing of statistical hypotheses, including those arising in the context of simple and multiple regression models. Students will use computers and statistical programs to analyze data. Examples and applications are drawn from economics, business, and other fields. Students will not receive credit for both STAT 2120 and ECON 3710. Prerequisite: MATH 1210 or equivalent; co-requisite: Concurrent enrollment in a discussion section of STAT 2120.
STAT 3120: Introduction to Mathematical Statistics
Credits: 3
This course provides a calculus-based introduction to mathematical statistics with some applications. Topics include: sampling theory, point estimation, interval estimation, testing hypotheses, linear regression, correlation, analysis of variance, and categorical data. Prerequisite: MATH 3100 or APMA 3100.