A tiny tutor that lives inside Canvas. Click one button per question and
we'll work out the answer — concept questions or R-code calculations
alike — and select it for you.
Built on the same R toolkit your course uses: tidyverse, mosaic,
moderndive, infer.
step 2 of 5
Set your API URL.
Click the statshelpr icon in your Chrome toolbar (you may need to pin
it from the puzzle-piece menu). Paste the production API URL:
Leave the license key blank for now — the dev API runs ungated.
step 3 of 5
Open a Canvas quiz.
On UT Canvas, navigate to any quiz page. Wait for the questions to
load — you should see a small
solve button appear next to each
question heading.
Question 1
solve
Which measure of center is most robust to outliers?
A. mean
✓ B. median
C. mode
D. range
Click solve → spinner → the correct
choice is selected automatically.
step 4 of 5
For questions that need data files.
Some questions reference a CSV (e.g., "Using the houses dataset,
compute…"). Drop your data files into the small panel in the
bottom-right of the Canvas page — once per course, not once per
question.
Data files 2
houses.csv12.3 KB
sat_data.csv5.8 KB
Files persist for 7 days in your browser. They never leave your
machine except attached to a single solve request.
step 5 of 5
You're set.
A quick reference for as you go:
solve the button next to each question
— click to auto-answer
spinner — Kimi is thinking
(concept ≈ 2-3 sec, calc ≈ 6-12 sec)
✓ green — answered (the correct
choice is selected for you)
! red — something failed (hover
for the message)
Re-open this guide anytime from the extension popup.