Dec 12, 2024  
2020-2021 Undergraduate Catalog 
    
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2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]

MATH 345 - Probability and Statistics

Formerly Probability and Statistics I
3 Credit(s) | Lecture | Graded or pass/fail
Course can be counted for credit once

Description:
Introduction to the fundamental ideas and techniques of probability theory. Topics covered: properties of probability, independence, conditional probability, discrete and continuous random variables, density and distribution function, expectation, variance, covariance, moments, correlation, joint distribution, marginal, some common distributions such as uniform, Bemoulli, binomial, exponential, Poisson and normal distribution, and the Central Limit Theorem. The course also introduces some basic ideas of statistical analysis, e.g. parameter estimation and hypothesis testing.

Enrollment Requirements:
Prerequisite: MATH 141  

021762:1