Analysis of means (ANOM) is a multiple comparison method for means, proportions, or variances. You might want to use these ANOM under these circumstances:
• to test whether any of the group means are statistically different from the overall (sample) mean
• to test whether any of the group standard deviations are statistically different from the root mean square error (RMSE)
• to test whether any of the group ranges are statistically different from the overall mean of the ranges
Note: Within the Contingency platform, you can use the Analysis of Means for Proportions when the response has two categories. See Contingency Analysis.
For a description of ANOM methods and to see how JMP implements ANOM, see the book by Nelson et al. (2005).
Note: If you specify a Block variable in the launch window and there are equal counts for each combination of Block and X variable level, the ANOM chart is the only Analysis of Means chart available. If you specify a Block variable in the launch window and there are unequal counts, none of the Analysis of Means options are available.