Metadata-Version: 2.4
Name: real_simple_stats
Version: 0.1.0
Summary: Python version of the Real Simple Stats Handbook
Author-email: Kyle Jones <kylejones@american.edu>
License-Expression: MIT
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Dynamic: license-file

# 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
