Question

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?

Answer 1

1 ]

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

2]

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