Type I Hypothesis Testing Error

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A Type I Hypothesis Testing Error is a hypothesis rejection decision that is a false positive prediction.



References

2015

2009

  • (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Type_I_and_type_II_errors
    • Type I (α): reject the Null Hypothesis when the null hypothesis is true ...
    • ...
    • Type I error, also known as an "error of the first kind", an [math]α[/math] error, or a "false positive": the error of rejecting a null hypothesis when it is actually true. Plainly speaking, it occurs when we are observing a difference when in truth there is none. An example of this would be if a test shows that a woman is pregnant when in reality she is not. Type I error can be viewed as the error of excessive credulity.