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is often overused in organizations.
Null Hypothesis
In statistical testing, it is the default assumption that there is no difference or effect, intended to be either rejected or not rejected based on data.
Type II Error
The error that occurs when a false null hypothesis is not rejected, also known as a false negative.
P Value
In hypothesis testing, the probability that the observed data (or a more extreme) would occur if the null hypothesis were true.
Hypothesized Reason
A proposed explanation based on limited evidence as a starting point for further investigation or experiment.
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