Toukei Statistics Calculator is a free Japanese analysis suite for descriptive statistics, distributions, hypothesis tests, regression, sample planning, and quality-control metrics.
External tool opens in a new tab.
What is this tool?
Calculate averages, variance, standard deviation, deviation scores, correlation, regression, statistical tests, confidence intervals, and process capability online.
Best for
Japanese-speaking students, teachers, researchers, analysts, and quality teams that need quick browser-based statistical calculations.
Pricing note
All listed calculators are free and require no account. Confirm input assumptions and use specialist statistical software or expert review for high-stakes research and business decisions.
Key features
Use cases
Summarize class scores or survey data with averages and measures of dispersion.
Test relationships or group differences with correlation, regression, t-tests, or ANOVA.
Plan a sample size or calculate process-capability metrics for a study or quality workflow.
Pros
Cons
How to use
Choose the calculator that matches your statistic, distribution, or test.
Enter or paste the requested values, usually separated by lines or commas.
Run the calculation and review the result, formula notes, and interpretation.
Validate assumptions and preserve the original data before using the output in formal work.
FAQ
Which statistics can Toukei calculate?
It covers averages, variance, standard deviation, deviation scores, correlation, regression, confidence intervals, distributions, hypothesis tests, and quality metrics.
Does it support statistical significance tests?
Yes. Dedicated calculators include t-tests, one-way ANOVA, chi-square tests, and related interpretation outputs.
Can I paste a dataset into the calculator?
Yes. Many tools accept a column or comma-separated series of numbers and calculate results in the browser.
Is Toukei suitable for formal research?
It is useful for learning and quick analysis, but formal research should also verify assumptions, methods, precision, and reproducibility with appropriate statistical review.
