{'fraction_non_alphanumeric': 0.026874115983026876, 'fraction_numerical': 0.0, 'mean_word_length': 6.151515151515151, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
The choice of statistical tests.

The basic principles of statistical analysis and statistical tests are presented. Test for the two-sample problem (e.g. comparison of two treatments) are extensively explained for qualitative (categorial), quantitative and ordinal response variables. As a powerful tool to derive significance probabilities independent from distributional assumptions (distribution free tests, nonparametric tests) the conditioning principle (conditional significance probability) is explained and its application demonstrated by examples. Some final remarks concern the role of significance tests in data description, data analysis and decisions as well as alternative decision procedures.