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Created by Matthew Cheng
over 6 years ago
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| Question | Answer |
| Proposition 1.1 | |
| Proposition 1.2 | |
| Proposition 1.3 | |
| Proposition 2.1 | |
| Proposition 2.2 | |
| Proposition 4.1 | |
| Proposition 4.2 | |
| Proposition 4.3 | |
| Proposition 4.4 | |
| Proposition 4.5 | |
| Proposition 4.6 (Markov's Inequality) | |
| Corollary 4.7 (Chebyshev's Inequality) | |
| Axiom 1 | |
| Axiom 2 | |
| Axiom 3 | |
| Distributivity Property | |
| De Morgan's Law | |
| Probability of an Event E in an Equally Likely Model | |
| Probability of an Event F, given Event E in an Equally Likely Model | |
| Conditional Probability Formula | |
| Chain Rule | |
| Partition Theorem | |
| Bayes' Theorem | |
| Jointly Independent Events | |
| Expected Value E[X] in Discrete Distributions | |
| Variance Var[X] in Discrete Distributions | |
| Standard Deviation SD[X] in Discrete Distributions | |
| Rules of Indicator Variables | |
| Geometric Series Summation | |
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