Probability and statistics
Move from uncertain events to random variables, probability models and evidence-based statistical inference.
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A Bernoulli variable records one binary outcome with success probability p.
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Bayes theorem relates conditional probabilities in opposite directions using prior probabilities and a nonzero evidence probability.
Resampling observed data estimates sampling variability under appropriate conditions.
The ratio of independent chi-squared variables divided by their degrees of freedom has an F distribution.
A Poisson variable counts nonnegative integer events with a specified mean parameter.
ANOVA partitions variation to test mean differences under model assumptions.
Move from uncertain events to random variables, probability models and evidence-based statistical inference.