# A Comparison of the Pearson Chi-Square and Kolmogorov Goodness-of-Fit Tests with Respect to Validity

@article{Slakter1965ACO,
title={A Comparison of the Pearson Chi-Square and Kolmogorov Goodness-of-Fit Tests with Respect to Validity},
author={M. Slakter},
journal={Journal of the American Statistical Association},
year={1965},
volume={60},
pages={854-858}
}
• M. Slakter
• Published 1965
• Mathematics
• Journal of the American Statistical Association
• Abstract This paper compares the Pearson Chi-Square and Kolmogorov good-ness-of-fit tests with respect to validity under the following conditions: (1) the N independent observations are tabulated and arranged into k mutually exclusive groups that are equally probable under the hypothesis to be tested; and (2) both N and k are “small”; i.e., not greater than 50. A random sampling experiment was performed, and the results show that in general for the conditions considered, the Pearson test is… CONTINUE READING
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