Difference between revisions of "MAT2313"

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Introduction to the theory of probability, through the study of discrete and continuous random variables.
 
Introduction to the theory of probability, through the study of discrete and continuous random variables.
  
==Text==
+
==Sample textbooks==
  
 
* Modern Mathematical Statistics with Applications (Springer Texts in Statistics). Jay L. Devore and Kenneth N. Berk. Second Edition.
 
* Modern Mathematical Statistics with Applications (Springer Texts in Statistics). Jay L. Devore and Kenneth N. Berk. Second Edition.
 +
* A ''Probability Course for the Actuaries: A Preparation for Exam P/1'', by Marcel B. Finan. Freely available [https://people.cas.uab.edu/~pjung/teaching_files/ProbabilityForActuaries.pdf online].
  
 
==Topics List==
 
==Topics List==
 
{| class="wikitable sortable"
 
{| class="wikitable sortable"
! Lecture !! Section !! Prerequisite Skills !! Student Learning Outcomes
+
! Week !! !! Topic Sections from Finan's book !! Subtopics
 
|-
 
|-
|  1   
+
|  1-2    
 
|| [[Populations and Samples]]
 
|| [[Populations and Samples]]
|| N/A
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|| Chapters 1-2
|| Understanding of the concepts of population and sample.
+
||  
 +
* The Fundamental Principle of Counting
 +
* Permutations and Combinations
 +
* Permutations and Combinations with Indistinguishable Objects
 
|-
 
|-
 
|  2   
 
|  2   

Revision as of 20:44, 25 March 2023

Foundations of Mathematics (3-0) 3 Credit Hours

Course Catalog

Corequisite: MAT1224.

Content: Permutations, combinations, multinational coefficients, inclusion/exclusion principle, axioms of probability, conditional probability, Bayes formula, independent events, discrete random variables, expected value,m variance, discrete random variables (Bernoulli, Binomial, Poisson, geometric, hypergeometric and Zeta random variables), continuous random variables (uniform, normal and other distributions), joint distributions, properties of expectations, limit theorems (Chebyshev's inequality, Central Limit Theorem, Law of Large Numbers)) Generally offered: Fall, Spring, Summer.

Description

Introduction to the theory of probability, through the study of discrete and continuous random variables.

Sample textbooks

  • Modern Mathematical Statistics with Applications (Springer Texts in Statistics). Jay L. Devore and Kenneth N. Berk. Second Edition.
  • A Probability Course for the Actuaries: A Preparation for Exam P/1, by Marcel B. Finan. Freely available online.

Topics List

Week Topic Sections from Finan's book Subtopics
1-2 Populations and Samples Chapters 1-2
  • The Fundamental Principle of Counting
  • Permutations and Combinations
  • Permutations and Combinations with Indistinguishable Objects
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See also