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Alpha and Beta

  • Alpha (α) refers to the probability of making a Type I Error. It is determined before the research is conducted (typically .05 or .01)
  • Beta (β) represents the possibility of making a Type II Error and is called Power. We do not know Beta prior to our research although there are statistics that attempt to estimate it.