step 1 of 5

# Welcome to statshelpr.

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:

`https://statshelpr-co4kzmola-elemenopizs-projects.vercel.app`

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.csv 12.3 KB
sat_data.csv 5.8 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.