<PRE><B>Question 399760</B>
We want to conduct a hypothesis test to see if a particular IQ assessment is calibrated 
properly, meaning that people’s IQ according to the test is, on average, 100. 
(a) What should our null hypothesis and our alternative hypothesis be?
Ho: u = 100
Ha: u is not equal to 100
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(b) Explain what a type I error and a type II error would represent in terms of the IQ assessment.
Type I: You reject Ho though it is true.
Type II: You fail to reject Ho though it is not true.
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Cheers,
Stan H. 
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