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EZ Statistics
An intuitive statistics software to automate complex data analysis

Meritudio’s  EZ Statistics is a revolutionary software that redefines statistical practice by eliminating the need for statistical expertise. Unlike traditional tools, it automatically selects the appropriate tests and constructs complex statistical workflows based on the user’s data, ensuring correctness and efficiency. Users simply choose the type of analysis they need, such as a two-group comparison, and EZ Statistics takes care of the rest—checking data integrity, determining suitable methods, and executing multi-step procedures that adapt to intermediate results. This automation makes statistical analysis easy and accessible for non-experts while saving significant time. Supporting a wide range of methods, from basic descriptive statistics to advanced predictive modeling, it features one-click solutions, an intuitive interface, and graphical reports, all to empower users to make confident data-driven decisions with clear and robust results.

Easy to Use
Streamline analysis with one-click reports and automatic tools

Generate reports instantly with one click after uploading or pasting data

Access all common statistical analyses organized into seven intuitive categories

Automatically select suitable statistical tests based on data characteristics

Customize workflows to fit specific research or project needs

Enjoy instant, professional statistical self-service tools

Simple to Understand
Clear results, intuitive visuals, and detailed insights

Clear descriptions and default values provided for all parameters

Summarized results and conclusions highlighted at the top of each report

Intuitive figures and tables accompanied by detailed explanations

Step-by-step guidance for interpreting complex results

Reports available in interactive web and print-ready PDF formats

Powerful Statistics
Advanced tests, models, and machine learning for deeper analysis

Over 50 parametric and non-parametric statistical tests

Comprehensive tools including linear models, mixed effects models, survival analysis, and power calculations

Data-driven approach to automatically design multi-step statistical procedures

Best practices tailored for small sample size statistics

Advanced machine learning tools for in-depth analysis

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