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  "Description": "Illustrate graphically the most common Null Hypothesis\nSignificance Testing procedures. More specifically, this\npackage provides functions to plot Chi-Squared, F, t (one- and\ntwo-tailed) and z (one- and two-tailed) tests, by plotting the\nprobability density under the null hypothesis as a function of\nthe different test statistic values. Although highly flexible\n(color theme, fonts, etc.), only the minimal number of\narguments (observed test statistic, degrees of freedom) are\nnecessary for a clear and useful graph to be plotted, with the\nobserved test statistic and the p value, as well as their\ncorresponding value labels. The axes are automatically scaled\nto present the relevant part and the overall shape of the\nprobability density function. This package is especially\nintended for education purposes, as it provides a helpful\nsupport to help explain the Null Hypothesis Significance\nTesting process, its use and/or shortcomings.",
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