The normal condition is a requirement for conducting certain statistical tests, including significance tests. It states that the distribution of the sample or population should resemble a normal (bell-shaped) distribution.
Related terms
Central Limit Theorem: A fundamental principle stating that when independent random variables are summed or averaged, their sample distribution tends toward a normal distribution.
Z-Score: A measure of how many standard deviations an individual data point is away from the mean of its distribution.
Skewness: A measure of asymmetry in a probability distribution; if a distribution is not symmetric, it may violate the normal condition.