# Plotwright — scientific statistics and graphing > Plotwright is a browser-based statistics and scientific-graphing workbench for researchers, operated by Furiga GmbH in Zürich, Switzerland. Its public guides use visible data, independently checked results, explicit limitations, and links to editable examples. Use the validation page to determine which numerical calculations have published-reference checks. A guide explains a method; it does not choose the correct design, establish scientific validity, or replace researcher judgment. This file is a curated content map, not crawler permission or a claim that AI systems consume it; robots.txt governs crawler access. ## Product and evidence - [Plotwright overview](https://plotwright.furiga.com/): Product scope, workflow, scientific guides, and direct access to the web application. - [Statistical validation](https://plotwright.furiga.com/validation.html): Published reference datasets, expected values, numerical tolerances, and evidence limits. - [Biostatistics guide library](https://plotwright.furiga.com/guides/): Nineteen worked guides organized by experimental design and scientific question. - [Open the web application](https://plotwrightapp.furiga.com/): The browser-based statistics and graphing workbench. - [Pricing](https://plotwright.furiga.com/pricing.html): Current monthly and annual options and trial details. - [Switching from GraphPad Prism](https://plotwright.furiga.com/coming-from-prism.html): Supported import paths, compatibility limits, current pricing, and candid free alternatives for zero-budget researchers. - [Privacy](https://plotwright.furiga.com/legal/privacy.html): Data handling, first-party measurement consent, subprocessors, and user rights. ## Scientific guides and editable examples - [Paired vs unpaired t test](https://plotwright.furiga.com/guides/paired-vs-unpaired-t-test.html): How experimental design changes the estimand and result. - [Paired t test vs Wilcoxon signed-rank](https://plotwright.furiga.com/guides/paired-t-test-vs-wilcoxon-signed-rank.html): Mean-difference and signed-rank inference on the same ten matched patients, with exact visible calculations. - [Technical vs biological replicates](https://plotwright.furiga.com/guides/technical-vs-biological-replicates.html): Why repeated reads within six cultures produce different inference when culture identity is preserved instead of flattened. - [Welch vs Student's t test](https://plotwright.furiga.com/guides/welch-vs-student-t-test.html): Why variance pre-testing should not choose the t-test variant. - [SD vs SEM error bars](https://plotwright.furiga.com/guides/sd-vs-sem-error-bars.html): Distinguishes observed spread, estimated precision, confidence intervals, and experimental units. - [Shapiro–Wilk normality test and Q–Q plot](https://plotwright.furiga.com/guides/shapiro-wilk-normality-test-qq-plot.html): Why P > 0.05 is not proof, how sample size changes power, and which model quantity to inspect. - [Mann–Whitney U test and medians](https://plotwright.furiga.com/guides/mann-whitney-u-test-median.html): What the rank test estimates and when a median-shift interpretation is justified. - [Pearson vs Spearman correlation](https://plotwright.furiga.com/guides/pearson-vs-spearman-correlation.html): Linear association, monotonic rank association, exact visible data, and inference conventions. - [Bland–Altman agreement vs correlation](https://plotwright.furiga.com/guides/bland-altman-vs-correlation.html): Original PEFR data showing why high correlation does not establish method agreement. - [Fisher exact vs chi-square](https://plotwright.furiga.com/guides/fisher-exact-vs-chi-square.html): Expected counts, exact and asymptotic inference, and oriented effects. - [Anscombe's quartet](https://plotwright.furiga.com/guides/anscombe-quartet.html): Four datasets with nearly identical summaries and materially different graphs. - [IC50 and EC50 dose response](https://plotwright.furiga.com/guides/ic50-ec50-dose-response.html): Four-parameter logistic fitting, uncertainty, and replication limits. - [Kaplan–Meier survival curves](https://plotwright.furiga.com/guides/kaplan-meier-survival-curve.html): Events, censoring, risk sets, median survival, and log-rank interpretation. - [ROC curves, AUC, and thresholds](https://plotwright.furiga.com/guides/roc-curve-auc-threshold.html): Ranking interpretation, sensitivity and specificity tradeoffs, and threshold limits. - [One-way ANOVA and Tukey comparisons](https://plotwright.furiga.com/guides/one-way-anova-tukey-plantgrowth.html): Omnibus inference, effect sizes, and simultaneous pairwise intervals. - [ANOVA vs Kruskal–Wallis](https://plotwright.furiga.com/guides/anova-vs-kruskal-wallis.html): Mean-based and rank-based hypotheses, assumptions, exact outputs, and conditional median interpretation. - [Repeated-measures ANOVA vs mixed effects](https://plotwright.furiga.com/guides/repeated-measures-anova-vs-mixed-effects.html): How one natural missing observation changes complete-case and random-intercept analyses of the same matched table. - [Tukey vs Dunnett multiple comparisons](https://plotwright.furiga.com/guides/tukey-vs-dunnett-test.html): Choosing an all-pairs or treatment-versus-control family before inspecting the results. - [Two-way ANOVA interactions](https://plotwright.furiga.com/guides/two-way-anova-interaction.html): Why the interaction is interpreted before main effects, with exact cell means and simple effects. ## Optional - [Scientific-guide Atom feed](https://plotwright.furiga.com/feed.xml): Machine-readable updates to the guide library. - [XML sitemap](https://plotwright.furiga.com/sitemap.xml): Canonical inventory of public Plotwright pages. - [Changelog](https://plotwright.furiga.com/changelog.html): Public product release notes when release-feed data is available. - [Imprint](https://plotwright.furiga.com/legal/imprint.html): Furiga GmbH legal identity and contact details.