auto-hypothesis-test

# auto-hypothesis-test Automated statistical testing tool — automatically selects the appropriate hypothesis test based on your data characteristics (t-test / chi-square / ANOVA / Mann-Whitney, etc.) and outputs results with plain-language interpretations. ## Capabilities | Feature | Description | |---------|-------------| | Independent samples t-test | 2 groups + normal data, compare means | | Welch's t-test | 2 groups + normal but unequal variances | | Mann-Whitney U | 2 groups + non-normal data (nonparametric) | | One-way ANOVA | 3+ groups + normal data | | Kruskal-Wallis | 3+ groups + non-normal data (nonparametric) | | Chi-square independence test | Association between two categorical variables | | Paired t-test | Before/after comparison (normal) | | Wilcoxon signed-rank | Before/after comparison (nonparametric) | | Auto-selection | Automatically chooses based on group count, normality, and data type | | Plain-language interpretation | Every metric and conclusion explained in everyday language | ## Quick Start ```bash # Group comparison (auto-selects the test) python3 scripts/statistical_test_suite.py data.csv --group treatment --value score # Chi-square test (two categorical variables) python3 scripts/statistical_test_suite.py survey.csv --group gender --value preference # Paired test (before/after comparison) python3 scripts/statistical_test_suite.py experiment.csv --col1 pre_score --col2 post_score --paired # Force a specific test python3 scripts/statistical_t...