Open Journal of Statistics
Vol.5 No.5(2015), Paper ID 58587, 10
pages
DOI:10.4236/ojs.2015.55043
Use of Pearson’s Chi-Square for Testing Equality of Percentile Profiles across Multiple Populations
William D. Johnson, Robbie A. Beyl, Jeffrey H. Burton, Callie M. Johnson, Jacob E. Romer, Lei Zhang
Department of Biostatistics, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, USA
Department of Biostatistics, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, USA
Department of Biostatistics, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, USA
Department of Biostatistics, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, USA
Department of Biostatistics, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, USA
Office of Health Data and Research, Mississippi State Department of Health, Jackson, USA
Copyright © 2015 William D. Johnson, Robbie A. Beyl, Jeffrey H. Burton, Callie M. Johnson, Jacob E. Romer, Lei Zhang et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Johnson, W. , Beyl, R. , Burton, J. , Johnson, C. , Romer, J. and Zhang, L. (2015) Use of Pearson’s Chi-Square for Testing Equality of Percentile Profiles across Multiple Populations.
Open Journal of Statistics,
5, 412-420. doi:
10.4236/ojs.2015.55043.