The normality assumption is the principle that data is distributed in a bell-shaped curve, known as a normal distribution, where most of the observations cluster around the central mean and probabilities for values further away from the mean taper off symmetrically. This assumption is crucial in statistical methods, particularly in hypothesis testing and confidence interval estimation, as it allows for the application of various statistical techniques that rely on this distributional property.
congrats on reading the definition of Normality Assumption. now let's actually learn it.