Python version of the Real Simple Stats Handbook
Project description
Real Simple Stats Handbook — Python Edition
This is a full Python implementation of basic statistics. It covers basic through advanced statistics, written as callable Python modules for education and quick reference.
Features
- Percentage conversions, rounding, and factorials
- Descriptive statistics: mean, median, mode, variance
- Probability: simple, joint, conditional, Bayes
- Distributions: binomial, normal, Poisson, geometric, exponential
- Hypothesis testing (z, t, F tests, p-values)
- Confidence intervals and CLT
- Linear regression: slope, intercept, R²
- Chi-square test and critical values
- Full glossary with lookup utility
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