Lecture notes
Introduction to Probability Complete Notes
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Probability axioms and their consequences. Conditional probability and independence. Random variables, distributions and densities, moments, sampling distributions. Weak law of large numbers, sums of independent random variables, moment generating functions, convergence concepts, the central limit theorem.
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Written for
- Institution
- University of Ottawa (U of O )
- Study
- physics
- Module
- MAT2371 (MAT2371)
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Document information
- Uploaded on
- November 26, 2025
- Number of pages
- 41
- Written in
- 2023/2024
- Type
- Lecture notes
- Professor(s)
- Gilles lamothe
- Contains
- All classes
Subjects
-
probability
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introduction to probability
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