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distributions


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  1. Normal distribution.

  2. Continuous random variables, exponential distribution.

  3. MGFs to get moments of Expo and Normal, sums of Poissons, joint distributions.

  4. Using the empirical rule (or 68-95-99.7 rule) to estimate probabilities for normal distributions.

  5. Discussion of how "normal" a distribution might be.

  6. Nomal distribution continued.

  7. Joint, conditional, and marginal distributions, 2-D LOTUS, expected distance between Uniforms, chicken-egg.

  8. Normal, uniform, and exponential distributions; misuse of statistics

  9. Geometric distributions.

  10. Multivariable distribution, binomial distribution, Bernoulli trials, geometric distributions.