From Raw Data to Scientific Insight – Your Data Deserves the Best Analysis

Statoria makes statistical analysis accessible – even without a statistics degree. The core idea: programs like SPSS or R are powerful, but often overwhelmingly complex. Statoria offers a guided, step-by-step approach through the entire analysis process: upload your data, prepare it with our intelligent data preparation tool, formulate your hypotheses, and Statoria automatically selects the right test based on your data and research questions. You receive clear, scientifically-standard results with understandable explanations. Whether you're a student in your first statistics course or a researcher with specific research questions – Statoria guides you from data preparation through hypothesis formulation to interpretation, without overwhelming you with unnecessary complexity.

Yes! Statoria offers a comprehensive free plan so you can properly get to know the platform. You can upload a dataset, manage columns without restrictions, formulate three hypotheses, and perform a complete analysis. This way you experience the entire workflow and can test Statoria's capabilities yourself – no credit card required. Advanced analyses with unlimited hypotheses and extended features are part of our premium offering with flexible subscription options.

Statoria covers the most important statistical procedures you need in your studies and research: t-tests (one-sample, independent, paired), ANOVA (one-way, factorial, repeated measures), MANOVA, correlation analyses (Pearson, Spearman), regression analyses (linear, multiple), chi-square tests, and non-parametric tests (Mann-Whitney, Wilcoxon, Kruskal-Wallis). Additionally, Statoria performs comprehensive assumption checks (Shapiro-Wilk, Levene, QQ-plots, sphericity) and calculates effect sizes (Cohen's d, η²/η²p). These tests cover over 80% of typical use cases in quantitative research.

We take the utmost care and quality in implementing statistical methods on Statoria! We conducted a comprehensive comparison of results between Statoria and SPSS and achieved very high methodological and result accuracy. Our algorithms are based on proven statistical methods and secured through a variety of tests. You can trust Statoria to deliver reliable and accurate results for your research that are suitable for academic publications.

We extensively tested AI-assisted solutions in the past, but they often led to inconsistent or even misleading results (so-called "hallucinations"). In statistical analysis, accuracy and reliability are absolutely critical – especially for academic work and research. Therefore, Statoria uses a deterministic, rule-based approach with mathematically correct algorithms that delivers consistent and traceable results you can trust. No estimates, no AI hallucinations – only precise, reproducible calculations based on proven statistical methods, exactly as it should be in science.

When you analyze data with Statoria, your data is sent to our EU-hosted server for analysis and the results are then sent back to your device. Your raw data is not stored. We only collect metadata for usage analysis to continuously improve the service. Your actual research data and personal information remain private.

Statoria was designed to significantly reduce the time you spend on statistical analyses. Through intelligent data preparation, automatic detection of data types and missing values, guided hypothesis formulation, and provision of immediate, interpretable results, you can complete analyses in minutes instead of days or weeks. Instead of struggling with syntax errors or complicated menu structures, you focus on what matters: your research question and the interpretation of results.

Yes, Statoria is ideal for academic research, theses, dissertations, and scientific publications. It generates scientifically-standard summaries with clear presentation of results, complete test statistics, and effect sizes. The mathematical precision, validated methods, and clear interpretation of results make it a trustworthy tool for students, educators, and researchers who aim for high-quality academic work.