These risks can be minimized through careful planning in your study design.Ĭonsider we are testing two brands of paracetamol to evaluate if Brand 1 is better in curing subject's suffering from fever as compared to Brand 2. The probability of making a Type I error is the significance level, or alpha (α), while the probability of making a Type II error is beta (β). Making a statistical decision always involves uncertainties, so the risks of making these errors are unavoidable in hypothesis testing. *Correspondence: Tel.: +91 90037 84310 email: statistics, a Type I error is a false positive conclusion, while a Type II error is a false negative conclusion. Volume 2 - Issue 3 Statistical Type I and Type II Errors
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