About StatMate
StatMate We believe statistical analysis should be accessible to everyone. Whether you're writing your first research paper or your hundredth, StatMate helps you get accurate results formatted in APA 7th edition style — no expensive software required.
Our Mission
We believe statistical analysis should be accessible to everyone. Whether you're writing your first research paper or your hundredth, StatMate helps you get accurate results formatted in APA 7th edition style — no expensive software required.
What Makes StatMate Different
- <bold>APA-Ready:</bold> Results are automatically formatted following APA 7th edition guidelines. Copy and paste directly into your paper.
- <bold>Privacy First:</bold> All calculations run in your browser. Your raw data never leaves your device.
- <bold>Built by Statisticians:</bold> Every calculator is built and verified by statistics professionals with years of research experience.
- <bold>Always Free:</bold> Core calculators are free forever. No sign-up required.
Available Calculators
- Independent & Paired Samples T-Test
- One-Way ANOVA with Bonferroni Post-Hoc
- Chi-Square Test of Independence & Goodness-of-Fit
- Pearson & Spearman Correlation
- Descriptive Statistics
- Simple Linear Regression
- Sample Size Calculator (Power Analysis)
- One-Sample T-Test
- Mann-Whitney U Test
- Wilcoxon Signed-Rank Test
- Multiple Regression Analysis
- Cronbach's Alpha (Reliability Analysis)
- Logistic Regression Analysis
- Exploratory Factor Analysis (EFA)
- Kruskal-Wallis H Test
- Repeated Measures ANOVA
- Two-Way ANOVA (Factorial)
- Friedman Test
- Fisher's Exact Test
- McNemar Test
Our Expertise
StatMate was founded by researchers who were frustrated with expensive SPSS licensing costs and the tedious process of manual APA formatting. Built by a team combining deep statistical expertise with modern web development, our mission is to make professional-grade statistical analysis accessible to every researcher.
Why We Built StatMate
As graduate researchers, we spent too many hours wrestling with SPSS licenses that expired mid-semester and manually formatting APA tables. We knew there had to be a better way. StatMate was born from that frustration — a tool built by researchers, for researchers, that combines statistical rigor with modern web technology.
Statistical Accuracy
Every calculator is cross-validated against R and SPSS to ensure results match to at least 4 decimal places. We follow established formulas from authoritative statistics textbooks.
APA Formatting
Our APA output follows the Publication Manual of the American Psychological Association, 7th Edition. We regularly review updates to ensure compliance.
Modern Engineering
Built with Next.js, TypeScript, and jStat. Client-side computation ensures privacy and speed. Open-source statistical libraries for transparency.
How to Cite StatMate
If you use StatMate in your research, please cite it using one of the following formats:
APA 7th Edition
StatMate. (2025). StatMate: Free online statistics calculator with APA-formatted results [Web application]. https://statmate.org
MLA 9th Edition
"StatMate: Free Online Statistics Calculator with APA-Formatted Results." StatMate, 2025, statmate.org.
Chicago 17th Edition
StatMate. "Free Online Statistics Calculator with APA-Formatted Results." Accessed 2025. https://statmate.org.
Calculation Methodology
All 20 calculators use established statistical formulas from authoritative textbooks and are cross-validated against R and SPSS to at least 4 decimal places.
Parametric Tests (5)
T-Test (independent, paired, one-sample), One-Way ANOVA, Two-Way ANOVA, Repeated Measures ANOVA — validated against R t.test(), aov()
Non-Parametric Tests (6)
Mann-Whitney U, Wilcoxon Signed-Rank, Kruskal-Wallis H, Friedman, Chi-Square, Fisher's Exact — validated against R wilcox.test(), kruskal.test(), chisq.test(), fisher.test()
Regression & Correlation (4)
Simple Regression, Multiple Regression, Logistic Regression, Pearson/Spearman Correlation — validated against R lm(), glm(), cor.test()
Reliability & Other (5)
Cronbach's Alpha, Factor Analysis (EFA), McNemar Test, Sample Size/Power Analysis, Descriptive Statistics — validated against R psych::alpha(), factanal(), pwr package
All calculations run client-side in your browser. Source code uses jStat, simple-statistics, and custom implementations following formulas from Howell (2013), Field (2018), and Tabachnick & Fidell (2019).
Contact
Have feedback, found a bug, or want to request a new calculator? We'd love to hear from you.
Email: contact.statmate@gmail.com