Statistics
Course Number:
STA 250
Old Number:
114
Description:
An introduction to the concepts, theory, and application of statistical inference, including the structure of statistical problems, probability modeling, data analysis and statistical computing, and linear regression. Inference from the viewpoint of Bayesian statistics, with some discussion of sampling theory methods and comparative inference. Applications to problems in various fields. Instructor: Wolpert
Prerequisites:
MATH 221 (104) and STA 230 (104)/MATH 230 (135)
Typically Offered:
Course Attribute:
(QS) Quantitative Studies
Information Science and Information Studies
Course Type:
Introductory
Undergraduate
Major
Minor
