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I have several linear and geometric cranial variables of specimens sampled from about 20 different localities. The sample sizes per locality range between 9 – 100. What would be the best multivariate statistical tests for this dataset to compensate for the unequal sample sizes?

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  • $\begingroup$ You have not indicated the population size or any other relevant characteristics of localities ? and no statement of your problem you intend to solve. $\endgroup$
    – user10619
    Commented Dec 13, 2017 at 7:52
  • $\begingroup$ Sample size/population per each locality vary between 9 and 100. These were geographically separated groups by water bodies, extensive dryland divides, mountainous breaks, ... My aim is to test whether geographic structuring has imparted some form of local cranial variation and whether there is an underlying pattern in such variation if any. $\endgroup$
    – Kennott
    Commented Dec 13, 2017 at 19:41
  • $\begingroup$ How many cranial variables ? name of each variable and measurements, nature of data.Incorporate part of data/output etc in your question ? $\endgroup$
    – user10619
    Commented Dec 14, 2017 at 0:25

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