Public Health Policy and Administration
The significance level, often denoted as $$\alpha$$, is the threshold used in statistical hypothesis testing to determine whether to reject the null hypothesis. It represents the probability of making a Type I error, which occurs when a true null hypothesis is incorrectly rejected. This level sets the criteria for deciding whether the observed data provides enough evidence against the null hypothesis in favor of the alternative hypothesis.
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