Statistics
15 tools · Distribution tables, critical values, p-values, and hypothesis-test calculators that run in your browser. Pair with Math tools for lighter z/t helpers.
Statistics Hub will host distribution tables (t, z, chi-square, F), critical-value and p-value lookup, and hypothesis-test calculators that run entirely in your browser. Tables and tests are still shipping; this page is the empty hub so navigation, sitemap, and llms.txt can wire up before individual tools land.
Until table pages publish, use Math tools for lighter entry points: z-score, t-score, normal distribution, chi-square statistic, hypothesis-test, and confidence-interval helpers under /math. Those pages stay at their current URLs and will cross-link here once Statistics tools go live.
For raw data exploration, regression, and CSV profiling, open Data Lab. For scripted scipy-style workflows, open Coding Studio. Nothing on this hub uploads your dataset to UtilBloom servers.
Educational use only. Critical values and p-values will be computed from tested distribution functions—not hard-coded textbook excerpts—when the calculators ship.
Questions
Where are the t and chi-square tables?
They are planned under /statistics (for example /statistics/t-table). Until then, use /math/t-score, /math/normal-distribution, and /math/chi-square-calculator.
Will Math statistics URLs move?
No. Existing /math/* statistics helpers keep their paths. New Statistics Hub pages will differentiate (full tables, p-values, APA-style sentences) and cross-link both ways.
Can I run tests on a pasted CSV here?
Not on this empty hub. Use Data Lab for cleaning and Coding Studio for notebook-style tests until Statistics calculators publish.
Are results private?
Studio and Math calculators are built to run in the tab. Prefer synthetic data on shared machines.