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Basic Analysis > Oneway Analysis > Analysis of Means Methods
Publication date: 04/30/2021

Analysis of Means Methods

Analysis of means (ANOM) methods compare means and variances and other measures of location and scale across several groups. You might want to use these methods 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).

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