Examlex
What do the last 8 bits of a Unicode value represent?
Type II Error
A statistical error that occurs when a false null hypothesis is not rejected, implying that a true effect is missed.
Type I Error
A mistake wherein a true null hypothesis is incorrectly rejected, commonly termed as a "false positive."
Alpha
In statistics, often refers to the significance level used in hypothesis testing, typically set at 0.05 or 0.01, representing the probability of incorrectly rejecting the null hypothesis.
Alpha
In statistics, the threshold of probability at which the null hypothesis is rejected, often set at 0.05 or 5%.
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