Suppose that we conduct a hypothesis test in which a type ii error is very serious. but the type i error is not very serious. which level of significance is the best choice?

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25-08-2022
Mathematics

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Suppose that we conduct a hypothesis test in which a type ii error is very serious. but the type i error is not very serious. which level of significance is the best choice?

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mickymike92 mickymike92 · Answer 1 · 2022-08-29T06:20:45-04:00

It is best to carry out the test with a larger significance level (eg. α = 0.10) in order to reduce type II error.

What are type I and type II errors?

A type I error is a false positive conclusion, whereas a type II error is a false negative conclusion.

Type I error means that the null hypothesis is rejected when it is really true, while a type II error means failing to reject the null hypothesis when it is really false.

Since the type II error is really serious, it is best to carry out the test with a larger significance level (for example α = 0.10).

In conclusion, type II errors are best reduced using a higher level of significance in a test or study.

Learn more about type I and type II errors at: https://brainly.com/question/15141232

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