Basic Analysis > Oneway Analysis > Analysis of Means Methods
Publication date: 05/24/2021

Analysis of Means Methods

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.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).