Final answer:
A Type I error would occur if we conclude that μ < 18 when the truth is that μ ≥ 18, which corresponds to option d).
Step-by-step explanation:
The given hypotheses are H0: μ ≥ 18 and H1: μ < 18. A Type I error occurs when we incorrectly reject the null hypothesis when it is actually true.
In this context, it means we would make a Type I error if we concluded that μ < 18 when in reality μ is greater than or equal to 18.
So the correct answer is: d) conclude that μ < 18 when the truth is that μ ≥ 18.
A Type II error, on the other hand, occurs when we fail to reject the null hypothesis when it is actually false.
So among the choices given, a Type II error isn't described.