Applied Probability and Statistics

MTH 3300 3 Semester Hours
Course Level CPS - Undergraduate Semester
Description Covers randomness, finite probability space, probability measure, events; conditional probability, independence, Bayes’ theorem; discrete random variables; binomial and Poisson distributions; concepts of mean and variance; continuous random variables; exponential and normal distribution, probability density functions, calculation of mean and variance; central limit theorem and implications for normal distribution; purpose and the nature of sampling; nature of estimates, point estimates, interval estimates; maximum likelihood, least-squares approach; confidence intervals; estimates for one or two samples; development of models and associated hypotheses; nature of hypothesis formulation, null and alternate hypotheses, testing hypotheses; test statistics: t-test, chi-squared test; correlation and regression; Markov processes, discrete time systems, and continuous time systems; queuing theory, including system simulation and modeling, queuing methods.

Prerequisites

Students should refer to the CPS Prerequisite Table for course prerequisite and corequisite information.

 

Course Sections

There are no current sections scheduled for this course. Undergraduate course numbers changed beginning with the Fall 2016 term. Please make sure you are using the current course number.
Next Term Starts
  • Winter Graduate
    Jan 8, 2018 (6- and 12-week classes)
    Feb 19, 2018 (6-week classes)

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