Statistics: On Non-Parametric Statistics

This week Kyle T. addresses the other major type of statistics: non-parametric statistics.  As he explains, non-parametrics allow for more robust testing than parametrics, since only non-parametrics can test with non-normal distributions and with ordinal (or less) dependent variables.  However, as he adds, non-parametrics’ robustness is counterbalanced by their loss of statistical power; the “collapse” of levels of granularity or fineness within the information gathered about the groups being tested eliminates much of the incisiveness of the tests’ results.

Next up: Correlation!

Warmly yours,

The Veritas Team

On Non-Parametric Statistics:

By admin | May 10th, 2011 | No Comments »

Leave a Reply

Creative Commons Attribution-NonCommercial 3.0 Unported
This work by Veritas Tutors is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported.
SEO Powered by Platinum SEO from Techblissonline
Creative Commons Attribution-NonCommercial 3.0 Unported
This work by Veritas Tutors is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported.