Nonparametric testing using the chi-square distribution. Export

@article{citeulike:764869, abstract = {We have described three separate uses of the chi-square distribution: comparing observed and expected frequency distributions of a nominal variable, testing for the independence of two variables, and using the chi-square test in determining correlation coefficients. We hope this paper has helped you gain an understanding of the uses of the chi-square test and the steps required to calculate this statistic.}, author = {Witt, P. L. and McGrain, P.}, citeulike-article-id = {764869}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/3945680}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=3945680}, issn = {0031-9023}, journal = {Phys Ther}, keywords = {medical-statistics}, month = {February}, number = {2}, posted-at = {2006-07-19 15:55:58}, priority = {2}, title = {Nonparametric testing using the chi-square distribution.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/3945680}, volume = {66}, year = {1986} }

TY - JOUR ID - citeulike:764869 L3 - citeulike-article-id:764869 N2 - We have described three separate uses of the chi-square distribution: comparing observed and expected frequency distributions of a nominal variable, testing for the independence of two variables, and using the chi-square test in determining correlation coefficients. We hope this paper has helped you gain an understanding of the uses of the chi-square test and the steps required to calculate this statistic. IS - 2 JF - Phys Ther SN - 0031-9023 TI - Nonparametric testing using the chi-square distribution. VL - 66 KW - medical-statistics AU - Witt, PL AU - McGrain, P PY - 1986/02// UR - http://view.ncbi.nlm.nih.gov/pubmed/3945680 ER -