Distribution of the sample mean X from a normal distribution In this lab we will explore different sampling distributions. We will start with the distribution of the sample mean when the variable of interest follows a normal distribution. Simulate a population by creating 10,000 observations from a normal distribution with a mean 60 and standard deviation 12. set.seed(40) #this code ensures all students in the lab will generate the same random numbers population We will now generate 1000 samples of size 50, calculate their means and store them in a variable called 'sampling Means50': set.seed(100) samplingMeans50