GratisAI learning · inspect quartiles and outlier fences under one named convention · local-first FREE TIER 1 Free Run Available
quartile-fence gauge · meter band gauge

Inspect Quartiles and Outlier Fences Under One Named Convention

Quartile software can disagree because its definitions differ. Sort your own observations, inspect the median-of-halves working and see which values sit outside fences you choose—without treating an outlier mark as a reason to discard data.

1 · dataset label | comma-separated observations

FIRST-LOAD

HYPOTHESIS / PROTOTYPE — checkout unavailable. Calculation is local. A draft is saved automatically in this browser profile when storage is available; Reset to sample clears it. Optional Pro history stores only five summaries and has its own deletion control. State links encode your inputs and can remain in browser history, clipboard or recipients’ records; share only non-sensitive rows. Optional external AI formatting leaves this device. The required site analytics beacon reports page activity; shared URLs contain encoded inputs. Do not treat an encoded URL as private. The calculator has no input-collection endpoint.

Data note: The quartile-fence gauge processes dataset label | comma-separated observations locally. Starter/sample selection and Run compute in this tab; no input is sent by the calculator. A local draft may be saved; explicit state-link sharing or optional external AI formatting can disclose inputs. Use non-sensitive labels.

Perspective: Before: quartile differences looked like unexplained software disagreement. After: the median-of-halves convention and its exploratory fences can be followed by hand.

2 · Read the quartile-fence gauge

Educational descriptive arithmetic only, not statistical inference, research validation, diagnosis or a data-deletion recommendation. The median-of-halves convention is explicit and may differ from other software. Use non-sensitive teaching data and ask an instructor or qualified analyst before making consequential analysis or exclusion decisions.

Optional filing controls are a local prototype.

Checkout is unavailable. The reading above is complete; print, CSV and five local summaries are optional enhancements, not hidden answers.

Before using the quartile-fence gauge

Use a small teaching dataset whose observations share a unit and have a clear meaning. The instrument accepts signed numbers because some ordinary measurements can be below zero, but it cannot decide whether a number belongs in your study. State the convention before comparing output with a textbook or spreadsheet. This implementation excludes the median observation from both halves when the count is odd, takes the median of each half, and uses strict outside-fence comparisons. That is one reproducible convention, not a claim that every package uses it. A fence is an exploratory flag; it is not a data-cleaning instruction, a clinical threshold or a test of misconduct. Keeping the sorted observations visible in the row note helps a learner locate why a quartile moved.

Boundary and sources

Educational descriptive arithmetic only, not statistical inference, research validation, diagnosis or a data-deletion recommendation. The median-of-halves convention is explicit and may differ from other software. Use non-sensitive teaching data and ask an instructor or qualified analyst before making consequential analysis or exclusion decisions.

Mechanism: competence-autonomy-loop

Optional AI formatting, never the calculation

Manual entry completes this quartile-fence gauge for free without signup. If available to you, the free AI Studio interface linked in the sources may format fictional or non-sensitive notes; external access may require an account. No API key or AI call is built into this tool. Free-tier content may be used to improve products. Review each cell and transcribe it to the labeled row schema; do not paste the JSON object into the row box.

Format only these fictional or non-sensitive notes for a quartile-fence gauge. Return strict JSON shaped as {"rows": [{"label": "string", "cells": ["string"]}], "setting": "string"}. The columns are dataset label | comma-separated observations; the setting is Interquartile-range fence multiplier. Keep all supplied strings and quantities exactly; do not calculate, infer missing entries, invent dates or add advice. If any required value is missing, return an empty rows array and ask me for it separately. I will verify every cell against my source and manually transcribe rows using vertical bars before running the local calculator.

An AI response is not executed, fetched or trusted as a result. Missing values remain questions; the strict local parser checks the rows you actually enter.