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If you select a very small value for αwhen conducting a hypothesis test, will β tend to be big or small? Explain.

Short Answer

Expert verified

The lower values of significance level (α) increase the type II error (β).

Step by step solution

01

Given information

The information regarding the values αand β.

The level of significance, αis small.

02

Define significance level and type II error probability

Type II error probability (β):

The type II error probability βis calculated assuming that the null hypothesis is false because it is defined as the probability of accepting H0when it is false.

i.e; β=P(acceptH0/H0isfalse0

Significance level (α):

The level of significance is the size of the type I error. In other words, rejecting the null hypothesis when it is true.

i.e.α=P(rejectH0/H0istrue)

03

Explain about  β when small value of  α conducting a hypothesis test

The type II error probabilityaccepts the null hypothesis when it is false. So, if a significance level is very small, then the region of acceptance expands. As a result, makes it difficult to reject the null hypothesis.

Therefore the lower values of significance level increase the type II error.

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