Performs a 1-way ANOVA.
The on-way ANOVA tests the null hypothesis that 2 or more groups have the same population mean. The test is applied to samples from two or more groups, possibly with differing sizes.
sample1, sample2, ... : array_like
F-value : float
p-value : float
The ANOVA test has important assumptions that must be satisfied in order for the associated p-value to be valid.
If these assumptions are not true for a given set of data, it may still be possible to use the Kruskal-Wallis H-test (`stats.kruskal`_) although with some loss of power
The algorithm is from Heiman, pp.394-7.
|[R48]||Lowry, Richard. “Concepts and Applications of Inferential Statistics”. Chapter 14. http://faculty.vassar.edu/lowry/ch14pt1.html|
|[R49]||Heiman, G.W. Research Methods in Statistics. 2002.|