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pywayne-statistics

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Powerful stats tests for AI workflows

Data & Analytics#statistics#regression#time-series#data-quality#hypothesis-testing#a/b-testing#normality
Authorwangyendt
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Comprehensive statistical testing library providing a unified interface for hypothesis testing, normality checks, time-series analysis, and model diagnostics to accelerate data-driven decisions.

Core Features & Use Cases

  • NormalityTests: assess distributional assumptions with Shapiro-Wilk, KS, and more.
  • LocationTests: compare means/medians across groups (t-tests, ANOVA, non-parametric tests).
  • CorrelationTests: measure relationships and independence (Pearson, Spearman, Kendall, chi-square, Fisher).
  • TimeSeriesTests: test stationarity, autocorrelation, and cointegration in time-series data.
  • ModelDiagnostics: diagnose heteroscedasticity, autocorrelation, multicollinearity, and residual properties.
  • Use cases: data-quality checks, A/B testing workflows, and regression diagnostics across datasets.

Quick Start

Install the library and run NormalityTests on a sample array to obtain a p-value and a verdict.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: pywayne-statistics
Download link: https://github.com/wangyendt/wayne-skills/archive/main.zip#pywayne-statistics

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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