Question

•Example: A major organization in San Bernardino has hired the well-known statistical consultant, Dr. Barbie. Her task is to evaluate a new painkiller that supposedly takes, on average, less than 30 minutes to relieve the pain of ADMN 210 students taking the final exam. She has set up the following null and alternative hypotheses:

•Ho: the painkiller takes 30 minutes (or maybe even more) to relieve pain

•H1: the painkiller relieves pain in less than 30 minutes

•a) What is the Type I error?

•b) What are the consequences of making the Type I error?

c) What would your choice of alpha be?

Answer 1

a)Type I error: Actually pain killer takes 30 minutes (or maybe even more) to relieve pain but due to lack of evidence we are rejecting it.

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b) The students will go for this option on the basis of evidence that the medicine is taking less than 30 minutes which is actually not true may increase the duration of their pain.

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c)