Understand the conditions for using a normal model to analyze one-variable data sets. Review different types of distributions, such as uniform, skewed, and multi-peaked, and emphasize the importance of visually examining the data before assuming it can be modeled with a bell curve. Remember to check for outliers and review the concept of the empirical rule for normal distributions.