Answer
See below.
Work Step by Step
A Type I Error is the probability of rejecting the null hypothesis when it shouldn't be rejected. Thus here the error is saying that the mean IQ for very-low-birth-weight males is less than $100$ although it's not less than $100.$
A Type II Error is the probability of accepting the null hypothesis when it shouldn't be accepted. Thus here the error is saying that the mean IQ for very-low-birth-weight males is $100$ although it is less than $100$.
