Professional, publication-ready statistics — 250+ procedures verified against R, running entirely in your browser. Nothing to install, your data never leaves your device.
Fourteen specialized statistical suites — from core hypothesis testing to econometrics, biostatistics, SEM, and psychometrics.
Comprehensive statistical analysis: descriptive, hypothesis tests, ANOVA, correlation, regression, cluster analysis, time series, and more.
Export a thesis-ready reproducibility certificate for any R-verified analysis.
Advanced econometric models: ARIMA, VAR, GARCH, cointegration tests, panel data, Granger causality.
Specialized clinical tools: ROC curve, meta-analysis, Bland-Altman, epidemiological measures, clinical sample size, survival and dose-response.
Specialized spatial analysis: Moran's I, Geary's C, spatial autocorrelation, density maps, SAR/SEM models, geographically weighted regression.
Covariance-based SEM/CFA (ML, MLR, WLSMV) for theory testing and global fit — or PLS-SEM for prediction, with PLSpredict, bootstrap mediation, and Importance-Performance Map Analysis (IPMA).
Comprehensive DOE module: CRD, RCBD, Latin Square, Factorial, Split-Plot, ANCOVA, Repeated Measures, Crossover, Nested, and Response Surface (RSM) — with post-hoc tests, APA tables, and R/lavaan verification.
Statistical process control: X̄-R, X̄-S, I-MR, p, c, u charts, CUSUM, EWMA, Run Charts — process capability (Cp, Cpk, Pp, Ppk, Cpm) and Measurement System Analysis (Gauge R&R, Bias & Linearity).
Advanced psychometric analysis: Item Response Theory (1PL/2PL/3PL Rasch), Differential Item Functioning (DIF), Latent Class Analysis (LCA), Equivalence Testing (TOST), and McDonald’s omega reliability — publication-ready output.
Bayesian inference across 14 panels: Bayesian t-test, ANOVA, correlation and regression, Bayes Factor robustness checks, Bayesian Model Averaging, posterior predictive checks, and sequential analysis.
Linear and generalized linear mixed models at lme4::lmer accuracy, an ICC calculator, and linear growth-curve modeling for repeated-measures and clustered data.
Bias-corrected and accelerated (BCa) bootstrap confidence intervals, two-sample bootstrap and permutation tests, permutation correlation, and permutation one-way ANOVA (PERMANOVA).
Paste SPSS output → instant APA interpretation, assumption check, and a reviewer-rebuttal generator. Arabic-first.
Random Forest, KNN, SVM, neural networks, K-Means, PCA, and more — a free, browser-based machine learning platform.
Research-grade Monte Carlo simulation: Type-I error and power studies, robustness checks, CLT demos, synthetic data generation — seeded and exactly reproducible.
End-to-end systematic review: import, blinded screening, structured extraction, risk of bias, GRADE, and a PRISMA 2020 flow diagram — then hands off to MindStat's verified meta-analysis engines.
Compute a probability or a critical value in seconds — no install, no sign-up.
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