FAQ
Frequently asked questions
Everything researchers ask before their first KyroStat analysis: what it runs, how the AI behaves, what the output looks like, and what it costs.
Getting started
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.
You describe your research question in plain language. KyroStat reads that question together with your dataset’s descriptive statistics and recommends between 3 and 8 statistical tests and 2 to 5 plots, each with a one-sentence rationale tied to your specific question. Nothing runs until you choose to run it.
In your browser. There is nothing to install and no license key to manage. Analyses execute server-side in a sandbox running real Python and R engines, and results stream back to your workspace.
Analysis
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.
Yes. Results include the effect size appropriate to the test, such as Cohen’s d, Hedges’ g, eta-squared and omega-squared, Cramer’s V, or R-squared, with confidence intervals where available. Effect sizes are required by APA 7 and most journals, so they are treated as part of the result, not an afterthought.
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.
Output and reporting
APA-formatted tables and the exact APA result sentence, for example "t(48) = 2.81, p = .007, Hedges’ g = 0.62, 95% CI [0.21, 1.03]". The sentence is built deterministically from the computed result, following APA conventions for p-values, leading zeros, and effect sizes.
It drafts the software paragraph for you: a paste-ready Methods text naming each test, the engine (Python or R), and the exact package versions used in your analysis, with APA citations and a downloadable BibTeX file. Versions are read from the real environment at run time, so the paragraph always matches what actually ran.
SPSS-style result tables, APA 7 tables, publication-ready plots, the generated Python or R code, BibTeX citations for the software used, and a single formatted PDF report that bundles everything for an advisor or a submission.
Plans and fit
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.
Graduate students running the analysis for a thesis or dissertation, researchers and faculty preparing manuscripts, and labs that want a shared, affordable workspace for everyday statistics instead of one expensive desktop license.
Did not find your question? Learn the workflow on how it works, browse the full feature list, or create an account and try it on your own data.
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