For any given Z-score we can compute the area under the curve to the left of that Z-score. Since the area under the standard curve = 1, we can begin to more precisely define the probabilities of specific observation. After standarization, the BMI=30 discussed on the previous page is shown below lying 0.16667 units above the mean of 0 on the standard normal distribution on the right. However, when using a standard normal distribution, we will use 'Z' to refer to a variable in the context of a standard normal distribution. To this point, we have been using 'X' to denote the variable of interest (e.g., X=BMI, X=height, X=weight). For the standard normal distribution, 68% of the observations lie within 1 standard deviation of the mean 95% lie within two standard deviation of the mean and 99.9% lie within 3 standard deviations of the mean.
The standard normal distribution is centered at zero and the degree to which a given measurement deviates from the mean is given by the standard deviation. The standard normal distribution is a normal distribution with a mean of zero and standard deviation of 1.
