If we want to understand if two variables are correlated, the first thing we have to understand is if they covary. That means that when one variable moves from its mean, we would expect that a related variables would change in a similar way. Continue reading
Category Archives: correlation
One-Way ANOVA For Email List Segmentation
A one-way ANOVA is used to test a null hypothesis by comparing three or more sample groups from a population (a t-test is generally used if comparing two sample groups). To use this method, we take a random, equal sample from each group. Then we examine the mean and variance between samples.