Probability and Statistics

Catalog description

Prior completion of MTH 265 is preferred. Presents basic concepts of probability, discrete and continuous random variables, and probability distributions. Presents sampling distributions and the Central Limit Theorem, properties of point estimates and methods of estimation, confidence intervals, hypothesis testing, linear models and estimation by least squares, and analysis of variance. Lecture 3 hours. Total 3 hours per week. In-person, proctored testing will be required for this course and is mandatory for exams. Exams will be held on-campus and/or through an approved proctoring testing facility. Distance Course requiring some on-campus meetings.