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Arguably the simplest voting system is:
Null Hypothesis
A statement in statistical hypothesis testing that assumes no effect or no difference, used as a starting point for testing statistical significance.
Type I Error
The mistaken disapproval of a valid null hypothesis, commonly referred to as a "false positive."
Type II Error
The error that occurs when a false null hypothesis is not rejected, meaning a real effect or difference was missed.
Type I Error
The mistake of rejecting a true null hypothesis, or in other words, concluding that a difference or effect exists when it actually does not.
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