distributions
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Biased random walks, distributions
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Standard distribution, binomial distribution, two random variables.
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Discrete vs. continuous distributions, PDFs, variance, standard deviation, Uniform universality.
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Using the empirical rule (or 68-95-99.7 rule) to estimate probabilities for normal distributions.
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Continuous random variables, exponential distribution.
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Geometric distributions.
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Joint, conditional, and marginal distributions, 2-D LOTUS, expected distance between Uniforms, chicken-egg.
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This is a math course aimed at students with life science majors covering elementary probability, probability distributions, random variables, and limit theorems.
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MGFs to get moments of Expo and Normal, sums of Poissons, joint distributions.
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Multivariable distribution, binomial distribution, Bernoulli trials, geometric distributions.
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Normal distribution.
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Standard normal distribution, cumulative distribution function.
