Alpha (α) is the threshold probability level used in hypothesis testing to determine whether to reject the null hypothesis. It represents the probability of making a Type I error, which occurs when the null hypothesis is true but is incorrectly rejected. Choosing an appropriate alpha level is crucial as it directly influences the study's conclusions and affects how sample size is determined to achieve desired statistical power.
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