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Intro to Statistics
A Type I error occurs when a true null hypothesis is incorrectly rejected. It is also known as a false positive.
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Null Hypothesis: A statement that there is no effect or no difference, often denoted as $H_0$.
Occurs when a false null hypothesis fails to be rejected, also known as a false negative.
The threshold at which we reject the null hypothesis, commonly set at 0.05 or 5%.