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Normal, Binomial, Poisson, & Chi-Square
Probability and Binomial Distributions
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Normal, Binomial, Poisson, & Chi-Square
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14 Terms
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1
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probability
2
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law of total probability
3
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Frequentist View AKA Long-run frequency
As N increase toward infinity, true probability will converge to the model
4
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Name a pro of long-run frequency
an objective measurement
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Name a con on long-run frequency
can't make probability statements of a single event
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bayesian view
subjective probability
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subjective probability
probability of even as the "degree of belief" that an intelligent an rational agent affigns to that truth of that event
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Pro of Bayesian View
you get to assign probabilities to any event you want to, they don't need to be repeatable
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Con of Bayesian View
cannot be purely objective
10
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probability distributions
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5 main probability distributions
binomial, normal, t, chi-square distribution, and F
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binomial distribution
a theoretical distribution of the number of successes in a finite set of independent trials with a constant probability of success
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Normal Distribution
the bell curve and gaussian
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probability densities
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