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StatMate
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Statistics Made Simple.
APA-Ready Results.

Run statistical tests instantly and get results formatted in APA 7th edition. Export to Word with one click. Built by statisticians, for researchers.

See It In Action — 3 Simple Steps

1. Enter Data

Group A: 85, 90, 78, 92, 88

Group B: 72, 68, 75, 70, 73

2. Get Results

t(8) = 4.47, p = .002, d = 2.83

p < .01Large Effect

3. APA Format Ready

An independent-samples t-test revealed a significant difference, t(8) = 4.47, p = .002, d = 2.83.

Not sure which test to use? Try the Decision Wizard

Answer a few simple questions and get a recommendation →

20 Statistical Tests

Comprehensive coverage

APA 7th Edition

Publication-ready format

100% Free

No hidden costs

Zero Data Collection

Runs in your browser

Free Statistics Calculators

T
Independent & Paired T-Test
Most Popular
Compare means between two groups. Get t-value, p-value, Cohen's d, and 95% CI.
F
One-Way ANOVA
Compare means across three or more groups. F-statistic, eta-squared, and post-hoc tests.
χ²
Chi-Square Test
Test of independence and goodness-of-fit. Chi-square statistic, Cramer's V.
r
Correlation
Pearson r and Spearman rho. Scatter plot visualization with regression line.
μ
Descriptive Statistics
Mean, median, SD, skewness, kurtosis, quartiles, and more.
ŷ
Simple Linear Regression
Model the relationship between X and Y. Equation, R², scatter plot.
N
Sample Size Calculator
Power analysis for t-tests, ANOVA, correlation, chi-square & proportions.
t₁
One-Sample T-Test
Compare a sample mean against a known or hypothesized population value.
U
Mann-Whitney U Test
Non-parametric comparison of two independent groups. Rank-based alternative to t-test.
W
Wilcoxon Signed-Rank
Non-parametric test for paired samples. Alternative to paired t-test.
Multiple Regression
Most Popular
Predict Y from multiple predictors. R², VIF, ANOVA table, standardized betas.
α
Cronbach's Alpha
Most Popular
Assess internal consistency reliability. Item statistics, split-half, alpha-if-deleted.
OR
Logistic Regression
Most Popular
Predict binary outcomes. Odds ratios, classification table, Hosmer-Lemeshow test.
Λ
Factor Analysis
Most Popular
Explore latent factors. KMO, eigenvalues, factor loadings, Varimax & Promax rotation.
H
Kruskal-Wallis H Test
Most Popular
Non-parametric comparison of three or more independent groups. Rank-based alternative to one-way ANOVA.
RM
Repeated Measures ANOVA
Most Popular
Compare means across conditions measured on the same subjects. Sphericity test and post-hoc comparisons.
Two-Way ANOVA (Factorial)
Most Popular
Examine main effects and interaction of two factors. Interaction plot and APA-formatted results.
χ²r
Friedman Test
Most Popular
Non-parametric alternative to repeated measures ANOVA. Compare ranks across three or more conditions.
FE
Fisher's Exact Test
Most Popular
Exact test for 2×2 contingency tables. Ideal for small sample sizes where chi-square is unreliable.
Mc
McNemar Test
Most Popular
Test for paired nominal data. Compare proportions in before-after or matched-pair designs.

Why StatMate?

&check;

APA 7th Edition

Results are automatically formatted to APA standards. No more manual formatting.

Instant Results

All calculations run in your browser. No server needed. Fast and private.

📄

Export to Word

One-click export to .docx with perfect APA tables. Copy-paste into your paper.

How It Works

1

Enter Your Data

Paste your data directly or enter summary statistics. Supports comma, space, or newline separated values.

2

Get APA Results

Click Calculate and get publication-ready results: test statistic, p-value, effect size, and confidence intervals.

3

Export & Cite

Copy results to clipboard or export APA-formatted tables to Word. Paste directly into your manuscript.

Trusted Calculations

All 20 Calculators Validated Against R & SPSS

Every calculator in StatMate has been cross-validated against R (the gold standard for statistical computing) and SPSS. Our results match to at least 4 decimal places across all test statistics, p-values, and effect sizes.

Parametric Tests

  • &check;Independent & Paired T-Test → R t.test()
  • &check;One-Sample T-Test → R t.test(mu=...)
  • &check;One-Way ANOVA → R aov() + Bonferroni
  • &check;Two-Way ANOVA → R aov() interaction
  • &check;Repeated Measures ANOVA → R aov() + Error()

Non-Parametric Tests

  • &check;Mann-Whitney U → R wilcox.test()
  • &check;Wilcoxon Signed-Rank → R wilcox.test(paired=TRUE)
  • &check;Kruskal-Wallis H → R kruskal.test()
  • &check;Friedman Test → R friedman.test()
  • &check;Chi-Square → R chisq.test()
  • &check;Fisher's Exact → R fisher.test()

Regression & Modeling

  • &check;Simple Regression → R lm()
  • &check;Multiple Regression → R lm() + VIF
  • &check;Logistic Regression → R glm(family=binomial)
  • &check;Pearson & Spearman → R cor.test()

Reliability & Other

  • &check;Cronbach's Alpha → R psych::alpha()
  • &check;Factor Analysis (EFA) → R factanal()
  • &check;McNemar Test → R mcnemar.test()
  • &check;Sample Size / Power → R pwr package
  • &check;Descriptive Statistics → R summary()

Privacy by Design

Your data never leaves your device. All statistical calculations run entirely in your browser using client-side JavaScript. No data is uploaded, stored, or logged on our servers.

&check;100% client-side computation
&check;No account or login required
&check;HTTPS encrypted connections
&check;Open methodology — uses jstat & simple-statistics libraries

AI-Powered Interpretation

Pro feature — see how AI explains your results in plain language

Sample AI Output

PAPER-READY SENTENCE

An independent-samples t-test revealed that participants in the experimental condition (M = 88.07, SD = 4.94) scored significantly higher than those in the control condition (M = 79.07, SD = 3.15), t(23.47) = 5.87, p < .001, d = 2.15, 95% CI [5.82, 12.18].

PLAIN-LANGUAGE INTERPRETATION

The new teaching method produced substantially higher exam scores — about 9 points higher on average. This is a very large effect, meaning the difference would be immediately noticeable in a classroom setting. The probability of seeing this difference by chance alone is less than 1 in 1,000.

How Researchers Use StatMate

Psychology Master's Student

Used StatMate to run an independent-samples t-test for her thesis data. The APA-formatted output saved hours of manual formatting — she just copied the result directly into her paper.

Research Methods Instructor

Uses StatMate in class to demonstrate how different statistical tests work. Students enter sample data and instantly see APA-formatted results, making abstract concepts concrete.

PhD Candidate, Education

Ran 5 different tests for her dissertation — t-test, ANOVA, correlation, chi-square, and regression. Exported all results to Word in APA format with one click each.

Frequently Asked Questions

Is StatMate really free?

Yes! All 20 statistical calculators are completely free with no sign-up required. Pro features like AI interpretation and Word export are available for $9.99/month.

Is my data safe?

Absolutely. All calculations run entirely in your browser. Your data never leaves your device — we don't upload, store, or log any of your research data.

How accurate are the results?

Every calculator is cross-validated against R and SPSS to at least 4 decimal places. We use established formulas from authoritative statistics textbooks.

What is APA format?

APA (American Psychological Association) format is the standard reporting style used in psychology, education, and social sciences. StatMate automatically formats your results following APA 7th edition guidelines.

Can I use StatMate for my thesis or dissertation?

Yes! StatMate provides publication-ready APA formatted results that you can directly copy into your thesis, dissertation, or research paper. You can also cite StatMate using the formats on our About page.

Which statistical tests are available?

StatMate offers 20 tests: T-tests (independent, paired, one-sample), ANOVA (one-way, two-way, repeated measures), non-parametric tests (Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman, Fisher's exact), regression (simple, multiple, logistic), chi-square, correlation, factor analysis, Cronbach's alpha, McNemar test, and more.

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