Explain the difference between a type one significant error and type two significance error

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asked Jun 17, 2020 142k views

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Razi Abdul Rasheed · Answer 1 · 2020-06-22T04:24:20+0000

Unlike a Type I error , a Type II error is not really an error. When a statistical test is not significant, it means that the data do not provide strong evidence that the null hypothesis is false. Lack of significance does not support the conclusion that the null hypothesis is true.

Explain the difference between a type one significant error and type two significance error

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