Free Online Statistical Tools

ANOVA, regression, probability, inference, control charts, descriptive statistics and multivariate analysis.

Web of Statistics is a free online platform for statistical analysis. It provides calculators and visual tools for students, teachers, researchers and professionals who need quick, accessible and reliable statistical results without installing additional software.

The platform includes tools for hypothesis testing, data visualization, exploratory analysis, probability distributions, regression models, ANOVA, quality control and multivariate methods.

Available tools

Descriptive Statistics

Summary statistics, histograms, boxplots and exploratory data analysis.

Probability

Normal, Student's t, chi-squared and F distribution calculators and tables.

Inference

Confidence intervals, hypothesis tests, distribution tests and non-parametric methods.

Control Charts

Shewhart charts, precontrol charts, EWMA and CUSUM tools for quality control.

ANOVA

One-way, two-way, randomized block and non-parametric ANOVA tools.

Regression

Linear regression, interaction models and nonlinear regression tools.

Multivariate Analysis

PCA, hierarchical clustering, k-means clustering and correlation matrices.

About the project

Web of Statistics was created by Dr. Silvio D. Rodríguez, Professor of Applied Statistics at the Pontificia Universidad Católica Argentina (UCA), Buenos Aires. The goal of the project is to make statistical tools more accessible for education, research and professional data analysis.

This is an academic and educational initiative. The tools are provided freely, and users are responsible for checking results and applying statistical methods appropriately.

Feedback, bug reports and suggestions are welcome. Please contact webofstatistics@gmail.com.

Donations help cover hosting and maintenance costs so the platform can remain free and ad-free.

Dr. Silvio D. Rodríguez

About the author

Dr. Silvio D. Rodríguez is Professor of Applied Statistics at the Pontificia Universidad Católica Argentina (UCA), Buenos Aires, and Associate Researcher at CONICET. He holds a Ph.D. from the University of Buenos Aires in Industrial Chemistry and has academic and research experience in statistics, chemometrics, multivariate methods and data analysis applied to science and engineering.

Contact:
silviodavidrodriguez@gmail.com
silviodavidrodriguez@uca.edu.ar

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