As we noted in Section 7.1, if the random variable X has a mean μ and standard deviation σ, then transforming X using the z-score creates a random variable with mean 0 and standard deviation 1! With that in mind, we just need to learn how to find areas under the standard normal curve, which can then be applied to any normally distributed random variable.
