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Failing to Reject
In hypothesis testing, it is the scenario where there isn’t enough evidence to reject the null hypothesis.
Null Hypothesis
A statement of no effect or no difference, serving as the default assumption to be tested against experimental evidence.
P-value
The probability of observing test results at least as extreme as the results actually observed, under the assumption that the null hypothesis is correct.
Level of Significance
The probability of making a Type I error in hypothesis testing, serving as a critical value for deciding whether to reject the null hypothesis.
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