#ttest
Live, measured metrics for the hashtag #ttest from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #ttest
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-09-28 06:37 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-09-28 06:37 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-28 06:37 UTCEverything below is measured over the latest 32 public posts (spanning ~22347 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (24) · Russian (6) · German (2)
Avg boosts / post: 0.3
Top of the latest posts
#statstab #589 The Permutation Test: A Visual Explanation of Statistical Testing Thoughts: If you stay in a frequentist framework, this should be your default. #permutation #randomization #nhst #ttest #pvalue #tutorial #guide https://www.jw
Anfang des 20. Jahrhunderts beginnt die Karriere des Statistiker William Sealy Gosset ganz alltagspraktisch in einer Brauerei: Bei Guinness erfindet er eine Methode, um Bier objektiv zu testen. Bis heute wird seine Methode angewendet. #Bier
#statstab #538 A Tutorial on Conducting and Interpreting a Bayesian Independent T-Test Using Open-Source Software Thoughts: OK as a beginner guide, but not more. #bayesian #bayesfactor #priors #jasp #ttest #tutorial #guide https://onlinelib
What “ttest” means
WikipediaStudent's t-test is a statistical test used to test whether the difference between the response of two groups is statistically significant or not. It is any statistical hypothesis test in which the test statistic follows a Student's t-distribution under the null hypothesis. It is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is estimated based on the data, the test statistic—
“Student's t-test” on Wikipedia (CC BY-SA) →#ttest across platforms
every network with a public tag surfaceFollow #ttest straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/ttest