INFERENCE AND ESTIMATION 4). Identify and explain the formula to calculate the "Standard Error of the Mean" 5). Identify and explain the formula (Z-score for samples) to transform a value of X from a sampling distribution of the mean to a score on the standard normal distribution. 6). Assume a normally distributed population with μ = 80 and a = 12. A large number of samples of size 16 (N=16) is drawn from this population and mean computed of each sample. What proportion of the sample means will be equal to or greater than 82?