Drug manufacturers test the null hypothesis that their anti-depressant does not make teens more

suicidal.

(a) The consequences of a Type II Error (failing to reject the null hypothesis when it is actually

false) would be

i. taking a potentially beneficial drug off the market unnecessarily

ii. teenagers taking a drug that may make them suicidal

iii. teenagers having access to a drug that helps their depression and is not harmful

(b) Suppose the P-value turns out to be small (less than the prescribed cut-off probability ).

What type of error could be committed?

i. Type I (reject null hypothesis even though it is true)

ii. Type II (fail to reject null hypothesis even though it is false)

iii. both I and II

iv. neither I nor II