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Suppose you always reject the null hypothesis, regardless of any sample evidence. a. What is the...

Suppose you always reject the null hypothesis, regardless of any sample evidence.

a. What is the probability of type I error?

b. Why might this be a bad policy?

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Answer #1

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TYPE 1 ERROR is the probability of rejecting a null hypothesis that is actually true researches directly control for the probability of committing this type of error

at the alpha level is the level of significance or criterion for a hypothesis test it is the largest probability of coming a type 1 error that will allow and still decide it is null hypothesis

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in this case we will reject H EVEN THROUGH IT IS TRUE THIS IS WILL GIVE WRONG CONCUSION THIS WILL INCREASE THE ERROR [ When the probability of a type 1 error is less than 5 % [ p < /05 ] the we will decide to reject the null hypothesis otherwise we will retain null hypothesis

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