normaalisuusoletus
Normaalisuusoletus, or the normality assumption, is a fundamental concept in statistics and probability theory. It posits that a given set of data points follows a normal distribution, also known as the Gaussian distribution or bell curve. This distribution is characterized by its symmetrical, bell-shaped curve, where the majority of values cluster around the mean, and values become progressively less frequent as they move further away from the mean.
The normality assumption is crucial because many statistical methods and tests are built upon this premise.
Researchers often check for normality using various graphical methods, such as histograms and Q-Q plots, or