Tom K. answered 08/09/20
Knowledgeable and Friendly Math and Statistics Tutor
From the CLT, if the population distribution is normal, the sample distribution is normal, and if the distribution is non-normal, as the sample size increases, the distribution approaches the normal.
The mean of a sample is the same as the population mean. However, the standard deviation of the sample mean is the population standard deviation divided by the square root of the sample size.
Thus, µx-bar = 60
σx-bar = 27/√36 = 27/6 = 9/2
z = (51 - 60)/(9/2) = -9/(9/2) = -2
P(x-bar <= 51) = Φ(-2) = .0228