Analysis of Means (ANOM), a graphical analog to ANOVA, tests the equality of population means. You can use ANOM with one or two factors, though two-factor designs must be balanced.
Minitab displays a graph, similar to a control chart, that shows how the mean for each level of a factor compares to the overall mean (also called the grand mean). Minitab flags means that are significantly different from the overall mean. ANOM, therefore, tells you when the level means differ and what those differences are.
As with analysis of variance, you can use ANOM if you can assume that the response approximately follows a normal distribution. In addition, you can use special versions of ANOM when your response consists of proportions (binomial data) and counts (Poisson data). With binomial data, the sample size (n) must be constant.
Note
|
ANOM uses a normal approximation with both binomial and
Poisson data. With binomial data, both np
and n(1-p)
should be at least 5. With Poisson data, the mean
should be at least 5.
|
(Source : Minitab Tutorial)
|
Tidak ada komentar:
Posting Komentar