MATHS@ZHAO Yin
Basic Concept of Probability Distributions 8: Normal Distribution
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PDF version PDF & CDF The probability density function is $$f(x; \mu, \sigma) = {1\over\sqrt{2\pi}\sigma}e^{-{1\over2}{(x-\mu)^2\ove...
Basic Concept of Probability Distributions 7: Uniform Distribution
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PDF version PDF & CDF The probability density function of the uniform distribution is $$f(x; \alpha, \beta) = \begin{cases}{1\over\b...
Basic Concept of Probability Distributions 6: Exponential Distribution
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PDF version PDF & CDF The exponential probability density function (PDF) is $$f(x; \lambda) = \begin{cases}\lambda e^{-\lambda x} ...
Basic Concept of Probability Distributions 5: Hypergemometric Distribution
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PDF version PMF Suppose that a sample of size $n$ is to be chosen randomly (without replacement) from an urn containing $N$ balls, of whi...
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Basic Concept of Probability Distributions 4: Negative Binomial Distribution
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PDF version PMF Suppose there is a sequence of independent Bernoulli trials, each trial having two potential outcomes called "succes...
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