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- Fundamentals of mathematical probability: sample spaces; events; independence; conditional probability and Bayes' Theorem. Discrete and continuous distributions. - Random variables: expectation; variance; sums and
- Fundamentals of mathematical probability: sample spaces; events; independence; conditional probability and Bayes' Theorem. Discrete and continuous distributions.
- Random variables: expectation; variance; sums and products.
- Fundamental distributions: uniform; normal; binomial, geometric, Poisson, exponential and their applications.
- The idea and applications of the central limit theorem.
please explain are these topics easy or hard in college level, what are the good resources to work with it ? thanks
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