Examlex
If and
, then the average rate of change of
between
and
is which of the following:
Null Hypothesis
A hypothesis in statistical testing that proposes there is no significance difference or effect and that any observed difference is due to chance.
P-value
The probability of observing the tested result, or one more extreme, if the null hypothesis is true.
α
Typically represents the level of significance in hypothesis testing, indicating the probability of rejecting the null hypothesis when it is true.
Type I Error
The statistical mistake of rejecting a null hypothesis when it is actually true, also known as a "false positive".
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