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sapphiresnake722
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University of Ottawa
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UOTTAWA
MAT 2377 Lecture 6: Lecture 6_ 2.6 Independence, 2.7 Bayes' Theorem, 2.8 Random Variables, 3.1 Discrete Random Variables.pdf
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UOTTAWA
MAT 2377 Lecture : Lecture 3_ 2.1 Samples Spaces and Events.pdf
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UOTTAWA
MAT 2377 Lecture : Lecture 5_ 2.4 Conditional Probability, 2.5 Multiplication Rule, 2.6 Independence .pdf
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UOTTAWA
MAT 2377 Lecture : Lecture 1_ Ch.1 The Role of Statistics in Enginnering.pdf
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UOTTAWA
MAT 2377 Lecture : Lecture 4_ 2.2 Interpretations and Axioms of Probability, 2.3 Addition Rules, 2.4 Conditional Probability.pdf
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UOTTAWA
MAT 2377 Lecture : Lecture 2_ 1.4 Probability and Probability Models.pdf
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UOTTAWA
MAT 2377 Lecture 7: Lecture 7_ 3.2 Probability Distributions and Probability Mass Functions, 3.3 Cumulative Distribution Functions.pdf
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UOTTAWA
MAT 2377 Lecture 11: Lecture 11_ Section 4.2 Probability Distributions and Probability Density Functions, and Section 4.3 Cumulative Distribution Functions.pdf
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UOTTAWA
MAT 2377 Lecture 8: Lecture 8_ Section 3.4 Mean and Variance of a Discrete Random Variable, and Section 3.5 Discrete Uniform Distribution.pdf
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UOTTAWA
MAT 2377 Lecture 10: Lecture 10_ Section 3.9 Poisson Distribution.pdf
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UOTTAWA
MAT 2377 Lecture 9: Lecture 9_ Section 3.6 Binomial Distribution, and Section 3.7 Geometric Distribution.pdf
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