If a Type II error is costly but a Type I error is not, why should you set the level of significance $\alpha$ at 0.10,...

      

If a Type II error is costly but a Type I error is not, why should you set the level of significance $\alpha$ at 0.10, 0.20 or even higher?

  

Answers


Mutiso
Since hypothesis is usually a belief about a certain aspect different levels of type 1-error can be set
depending on ones outlook of error and cost. (Adverse, neutral or risk taker).
Mutiso answered the question on December 14, 2018 at 12:55


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