Hi all! Anyone know how to do this?!
The dimensions of a component from a long production run vary according to
a N(μ, 1) distribution, and the mean dimension μ varies from production run to
production run according to a N(10, 1/4) distribution. From one production run 12
components are drawn at random and their average dimension is found to be 10
On this information what is the probability that the mean component dimension
is at least 10?