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2023 May Semester
Apr 24, 2024
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STAT 371 - Probability and Statistics for Scientists and Engineers
This course is a calculus-based introduction to the theory and application of probability and statistics. The topics covered include concepts of probability, events, populations, probability theorems, the concept of a random variable, continuous and discrete random variables, joint probability distributions, distributions of functions of a random variable, moments, Chebyshev’s inequality, the de Moivre-Laplace theorem, the central limit theorem, sampling and statistical estimation theory, hypothesis testing, simple regression analysis, and an introduction to the design of experiments.
Credits: 3.000

Levels: Undergraduate
Schedule Types: Lecture, Self-Directed, Final Exam

Precluded: MATH-340 MATH-341 MATH-371
Students cannot receive credit for the course being described and the course(s) listed as Precluded
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Green prerequisites must be completed before registering in this course

Red prerequisites can be taken concurrently with this course

Magenta co-requisites must be taken at the same time as this course

Prerequisites:
MATH 101 Minimum Grade of C-

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