SCEA Chi-Square Test
Non-Parametric Statistical Inference Engine
A professional-grade tool designed for non-parametric data analysis. Perform localized, high-precision Goodness-of-Fit and Independence tests directly in your browser memory.
Goodness-of-Fit & Independence Testing.
Whether validating a 1D sample distribution against a theoretical model or analyzing associations in a 2D Contingency Table, the Chi-Square suite provides a secure kernel for rapid hypothesis testing without data ever leaving your machine.
Core Capabilities
High-Precision Analytics
Calculates Chi-Square statistics (χ2), df, and P-values using the Incomplete Gamma function for journal-grade accuracy.
Effect Size Metrics
Automatically computes Cramer’s V to quantify the strength of association in 2D contingency table tests.
Advanced Heatmaps
Generates interactive Residual Heatmaps and Distribution Probability Curves via Plotly.js for visual data inspection.
Confidential Computing
Operates entirely within the browser's memory; raw categorical data never leaves the user's local machine.
How to Operate
Define your categories for 1D or 2D analysis. The engine dynamically expands the contingency table to match your experimental design.
Input observed frequencies into the localized kernel. For 1D tests, provide expected ratios or choose "Equal Proportions."
Execute the test to generate statistics, probability curves, and heatmaps instantly without any cloud transmission latency.
Localized categorical analysis with professional-grade precision.