# False Positive Type I error is the rejection of a true [[Null Hypothesis|Null Hypothesis]] (also known as a "false positive" finding or conclusion) When you get a [[P Value|P Value]] that is low (i.e. <0.05) and there is no true difference in outcome. The probabilit is low and therefore this cannot be due to chance and yet it was due to chance and there is no difference. # Documentation <iframe width="560" height="315" src="https://www.youtube.com/embed/vemZtEM63GY" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> <iframe width="800" height="700" src="https://en.wikipedia.org/wiki/Type_I_and_type_II_errors"></iframe>