Statistical analysis for your research data
Our data analysis tool performs statistical tests for the empirical chapter of your paper. Upload your dataset (.csv, .xlsx, or .sav file), select the analysis you need, and receive a clear interpretation of the results. The output is written in plain academic English, ready to be incorporated into your work. This tool is designed for students who need to run statistical tests but may not have access to specialized software or need help interpreting the output.
See an example
Your input
Run a linear regression to test if weekly study hours predict student GPA.
AI-assisted result
The linear regression analysis found that weekly study hours significantly predict student GPA, F(1, 98) = 5.47, p = .021. The model explained 5.3% of the variance (R² = .053). Specifically, each additional hour of study per week is associated with a 0.12 point increase in GPA (β = 0.12), indicating a positive relationship between study time and academic performance.
What it does
A wide range of statistical tests
Perform descriptive statistics, t-tests, ANOVA, correlation, and regression analysis. The tool covers the core methods needed for most empirical research projects.
Results in academic English
Receive a full statistical report, including relevant tables and charts, with a clear explanation of what the numbers mean for your research.
Assumption checking
The tool automatically checks key statistical assumptions for your chosen test, such as normality, and provides guidance if they are not met.
Frequently asked questions
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