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Course Overview

This is an introductory course in probability and statistics for science and information technology students. It covers basic concepts of probability and statistics, frequency distributions, graphical methods, measures of central tendency and variability, counting principles, Bayes’ theorem, discrete and normal probability distributions, linear regression models, correlation, central limit theorem, sampling variability, confidence intervals, and hypothesis testing. Applications to different fields are included throughout.

Credits: 3
Distribution: Bachelors, Undergraduate
Prerequisite: MAT 130 or the equivalent.

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Admissions Requirements

Hearing Undergraduate