Probability and statistics
Move from uncertain events to random variables, probability models and evidence-based statistical inference.
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Resampling observed data estimates sampling variability under appropriate conditions.
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Autocorrelation measures dependence between a process and its lagged values.
A Bernoulli variable records one binary outcome with success probability p.
A response's conditional mean is modeled as linear in coefficients with assumptions about residuals.
Testing many hypotheses requires controlling an appropriate combined error measure.
ANOVA partitions variation to test mean differences under model assumptions.
Move from uncertain events to random variables, probability models and evidence-based statistical inference.