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/ Know your probability distributions!
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Can you name the probability distributions?
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gabigabi
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Which distribution is best suited for each situation in statistical modeling? Bayesian distributions don't arise naturally, but make computation easy.
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Description
Probability distribution
Ratio of sample variances in standard normal populations
(Bayesian) Prior distribution of a single fair coin flip yielding heads
Length of the opposite side of a uniformly distributed angle in a right triangle, where the length of the adjacent side is fixed
Number of tails obtained by flipping a coin until the first n heads appear
Number of balls of each color drawn WITH replacement from a bag of red, green, and blue balls
(Bayesian) Prior distribution over discrete (categorical) probability distributions
Sample mean divided by sample variance in a standard normal population (times a constant)
Number of tails obtained by flipping a coin until the first heads appears
Distribution of p-values if the null hypothesis is true
Number of heads after flipping a coin a fixed number of times
A single fair coin flip yielding heads
Number of calls received at a call center in one hour
Color of the first ball drawn from a bag with red, green, and blue balls
Time between a call at a call center and the n-th immediately following call
Time between a call at a call center and the immediately following call
(Bayesian) Prior distribution over covariance matrices of a multivariate normal distribution
Velocities of molecules in an ideal gas
Number of white balls drawn WITHOUT replacement from a bag of white and black balls
Sample variance in a standard normal population (times a constant)
A single fair die roll
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Tags:
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probability
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