Deterministic numbers
Every statistic, p-value, and confidence interval is computed by Python and R libraries. The AI writes prose around the numbers; it is never allowed to write the numbers.
Not sure which test your data needs? Upload your spreadsheet and KyroStat recommends the correct statistical test, runs it on real Python and R engines, and hands back APA 7 tables, plots, and the code, so every result is correct and ready to defend.
Runs the tests your methods chapter needs
How it works
No syntax to memorise and no menus to hunt through. KyroStat walks you from raw data to a result you can defend.
Drop in a CSV or Excel spreadsheet. KyroStat reads your columns and detects variable types automatically.
See means, standard deviations, counts, and distributions computed for every variable, before you run a single test.
Describe your question and KyroStat suggests appropriate statistical tests, with the assumptions to check. You stay in control.
Tests execute server-side on real Python and R engines, so the numbers match what a statistician would compute.
Download SPSS-style tables, APA 7 output, plots, the generated code, and a formatted PDF report for your write-up.
Publication-grade output
The same result, two ways: the familiar SPSS-style grid for checking your work, and an APA 7 table ready for the manuscript.
| Group | N | Mean | Std. Dev. | t | Sig. (2-tailed) |
|---|---|---|---|---|---|
| Intervention | 25 | 74.2 | 8.1 | 2.81 | .007 |
| Control | 25 | 67.9 | 7.6 |
Familiar, gridded, and clearly labelled: the format you learned on, for checking every number at a glance.
| Condition | n | M | SD |
|---|---|---|---|
| Intervention | 25 | 74.2 | 8.1 |
| Control | 25 | 67.9 | 7.6 |
t(48) = 2.81, p = .007, Hedges’ g = 0.62, 95% CI [0.21, 1.03]
The APA sentence is assembled deterministically from the computed result, down to the leading-zero rules.
Every statistic, p-value, and confidence interval is computed by Python and R libraries. The AI writes prose around the numbers; it is never allowed to write the numbers.
KyroStat re-derives each reported p-value from its test statistic and degrees of freedom, the same consistency check journals run with statcheck, and flags any mismatch.
Exports include a paste-ready software paragraph naming each test, engine, and exact package versions, with APA citations and a BibTeX file.
Features
KyroStat covers the full path from analysis to write-up, not just the calculation in the middle.
Stop guessing which test to run. KyroStat reads your variables and design, checks the assumptions, and recommends the correct statistical test with a plain-language reason you can defend.
Tables formatted to APA 7 conventions plus the exact APA result sentence, with effect sizes and confidence intervals, ready for a manuscript, thesis, or dissertation.
Every analysis returns the exact code it ran, so your work is transparent, reviewable, and fully reproducible, not a black box.
Familiar, clearly labelled output tables that read the way the software you learned on does, so nothing feels foreign.
Clean charts generated from your analysis, styled for figures rather than rough exploratory sketches.
Bundle tables, plots, code, and a paste-ready Methods paragraph with software citations into a single report for an advisor or a submission.
Who it is for
KyroStat is built around academic work, from a first methods project to a lab running studies every term.
Run the analysis for a thesis or dissertation without first taking a full statistics course, and understand each choice as you go.
Get from collected data to a submission-ready result faster, with output already formatted for your paper.
Give everyone a shared, affordable workspace for everyday analysis instead of juggling one expensive desktop licence.
Why KyroStat
The same rigour you expect from desktop statistics software, without the install, the licence cost, or the learning curve.
FAQ
The things researchers ask us most before their first analysis.
No. KyroStat computes your descriptive statistics and recommends appropriate tests for your research question, so you can reach a valid result even if you are not a statistician. It explains the rationale behind each recommendation and leaves the final choice with you.
Spreadsheet files, including CSV and Excel. KyroStat reads your columns and detects variable types automatically so you can start analysing straight away.
The common test families used in academic research: t-tests (one-sample, independent, paired), one-way ANOVA, correlation (Pearson, Spearman, Kendall), chi-square, linear regression, and rank-based tests such as Mann-Whitney U, Wilcoxon, and Kruskal-Wallis. Because analyses run as real Python and R code rather than a fixed menu, coverage keeps growing.
Two safeguards. First, every statistic is computed by real Python and R statistical libraries, never by the AI. Second, KyroStat recomputes reported p-values from the test statistic and degrees of freedom (the same consistency check journals use via statcheck) and flags any mismatch before you export.
Yes. Every analysis returns the exact Python or R code it ran, which you can read, download, and rerun anywhere. Your results stay transparent and reproducible.
It runs in your browser with nothing to install, guides you to the right test with AI, shows the code behind every result, and exports APA 7 tables and a PDF report. It is priced to be affordable for students and labs rather than licensed per seat.
KyroStat is priced to be affordable for students and academic research teams. Create an account to see the current plans.
More questions? Read the full FAQ
Create an account and run your first analysis in minutes. No install, no statistics course required.