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The '''probability of error''' is similarly distinguished.
* For a Type I error, it is shown as α (alpha) and is known as the ''size'' of the test and is 1 minus the [[Specificity (tests)|specificity]] of the test. It should also be noted that α (alpha) is sometimes referred to as the confidence of the test, or the level of significance (LOS) of the test.
* For a Type II error, it is shown as β (beta) and is 1 minus the [[Statistical power|power]] or 1 minus the [[sensitivity (tests)|sensitivity]] of the test.and we know it better by solving so many statistics testings
==Statistical and econometric modelling==
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