Learn statistics. Analyse your own data.
Short lessons, real research examples and hands-on practice — then analyse your own dataset in the same place.
Try it now: type numbers, see the results instantly
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📚 Research Learning Lab
Learn statistics through short lessons, real research examples and interactive practice.
Learn → Practice → Understand Start learning📊 Statistical Analysis Lab
Upload your dataset, run professional statistical analyses and understand the results.
Upload → Analyze → Interpret Start analysingYour learning path
17 chapters, from first concepts to machine learning.
🧭
Research & Statistics Fundamentals
What research is, who you study, and what kind of data you collect.
📊
Descriptive Statistics
Summarise data with numbers, tables and charts.
⚖️
Hypothesis Testing
Frame a question, pick a test, make a decision.
🧪
t-tests
Compare means of one, two or paired groups.
🔗
Correlation
Strength and direction of relationships.
⏳
Survival Analysis
Time-to-event data and censoring.
Chapters →
How the Analysis Lab works
- UploadAdd a CSV or Excel file
- ChoosePick a test and variables
- ValidateAssumptions and data are checked for you
- InterpretResearch-style wording in plain language
- ExportPDF, Excel or CSV report
Popular analyses
Free
Descriptive statistics
n, missing, mean, SD, median, quartiles, outlier screen.
Free
Chi-square (cross-tab)
Association between two categorical variables, with expected counts and Cramér's V.
Free
Independent samples t-test (Welch)
Compare the means of two separate groups.
Free
One-way ANOVA + post-hoc
Compare means of three or more groups, with Tukey post-hoc.
Free
Pearson correlation
Strength and direction of a linear relationship.
Free
Linear regression (simple / multiple)
Predict a numeric outcome; coefficients, R², adjusted R², VIF.
Paid
Binary logistic regression
Odds ratios with 95% CI for a yes/no outcome.
Paid
Cox regression (basic)
Hazard ratios with 95% CI and a proportional-hazards check.