Read About Type I Error In Statistics In Detail.

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Answered By 0 points N/A #302032

Read About Type I Error In Statistics In Detail.

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When you perform a hypothesis test, two forms of errors can appear: which include type I and type II. The occurrence of these errors is related inversely.

Type I error

If the null hypothesis is right and you reject it, then you make a type I error. The possibility of making a type I error is α, which is equal to the level of significance you decide for your hypothesis test. An α of 0.05 shows that you can accept a 5% possibility that you are wrong whenever you reject the null hypothesis.

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