| 摘要 |
A computer and computer implemented method and program product for analyzing statistical data in which the data to be analyzed need not be transformed into a "Normal" distribution, thus avoiding introduction of error. Generally, the computer first determines a test statistic (formula) and associated null hypothesis. Then the distribution from which the original data arose, consistent with the null hypothesis, is defined. The computer then produces numerous randomly-generated data sets of the identical size and dimensions of the original statistical data set, according to the distribution defined above. A numerical value of the test statistic is computed from the test statistic formula for each randomly generated data set and stored in a vectored array. The numerical value of the test statistic computed from the original statistical data is then compared with the array and the associated percentile determined. With this information, the significance of the numerical value of the test statistic derived from the original data can be determined and the null hypothesis may be rejected, and if so, at what level of significance. Embodiments of the invention may likewise be used in alternative statistical applications, including computation of confidence intervals and likelihood ratios.
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