1.The normal distribution model is appropriate for a continuous outcome (e.g. such as blood pressure) so long as the distribution of values are not highly skewed.

2.When a continuous outcome variable is approximately normally distributed, the statistical properties listed on this slide apply. These properties turn out to be very helpful in describing data and calculating intervals of precision, known as confidence intervals.