Welch
Welch's ANOVA is a statistical test used to compare the means of two or more groups when the assumption of equal variances between the groups is not met. It is a robust alternative to the classic one-way ANOVA, which assumes equal variances. Welch's ANOVA produces an F-statistic and a p-value. The p-value indicates the probability of observing the differences in means (or more extreme differences) if the null hypothesis (that all group means are equal) is true. If the p-value is below a predetermined significance level (e.g., 0.05), the null hypothesis is rejected, suggesting that at least one group mean is significantly different from the others.
Parameters
the groups to be compared as a list of estimated responses. The list must have 2 or more elements, and each group must have two or more observations.