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STAT 2501 - Probability and Stochastic Processes

Description
Same as Math 2501. Probability theory; set theory, axiomatic foundations, conditional probability and independence, Bayes' rule, random variables. Transformations and expectations; expected values, moments and moment generating functions. Common families of distributions; discrete and continuous distributions. Multiple random variables; joint and marginal distributions, conditional distributions and independence, covariance and correlation, multivariate distributions. Properties of random sample and central limit theorem. Markov chains, Poisson processes, birth and death processes, and queuing theory.prereq: Math 1101 or instr consent Credit will not be granted if credit has been received for: MATH 2501. Class Notes: Students and instructors must be online at the same time, at scheduled days and times. 100% of instruction is online with no in-person meetings. Exams are also all online.Once registered, you will be able to visit the class Canvas site for more specific information. If you need to make any changes, you may do so through MyU.
Credits
4
Attributes
Remote - set time and days Mathematical/Symbolic Reasoning
Recent Professors
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Recent Semesters
Fall 2020, Fall 2019, Fall 2018, Fall 2017
Offered
MWF
Avg. Class Size
30
Avg. Sections
1