Test Score Normality Check — Free Q-Q Plot Template
This Test Score Normality Check template uses a Q-Q (quantile-quantile) plot to show whether a set of test scores follows a normal distribution. The sample data maps theoretical normal quantiles (-2.0 through 1.5) to observed scores rising from 52 to 94, so points that fall along a roughly straight line signal a normal spread while curves or kinks reveal skew or heavy tails. It is a ready starting point for swapping in your own grades or exam results and reading normality at a glance.
Open This Template in the EditorAbout This Q-Q Plot Template
This Test Score Normality Check template uses a Q-Q (quantile-quantile) plot to show whether a set of test scores follows a normal distribution. The sample data maps theoretical normal quantiles (-2.0 through 1.5) to observed scores rising from 52 to 94, so points that fall along a roughly straight line signal a normal spread while curves or kinks reveal skew or heavy tails. It is a ready starting point for swapping in your own grades or exam results and reading normality at a glance.
It's a ready-made Q-Q Plot you can open and edit in seconds — replace the sample numbers with your own, restyle it, and download a publication-ready image, all free and in your browser.
Template Data
This template ships with the sample data below. Open it in the editor to swap in your own figures:
| Theoretical Quantile | Scores |
|---|---|
| -2.0 | 52 |
| -1.5 | 60 |
| -1.0 | 68 |
| -0.5 | 74 |
| 0 | 78 |
| 0.5 | 83 |
| 1.0 | 88 |
| 1.5 | 94 |
| 2.0 | 102 |
When to Use This Template
- Teachers checking whether a class's exam or quiz scores are normally distributed before grading on a curve
- Education researchers and psychometricians validating the normality assumption for a test or assessment instrument
- Statistics students learning to read Q-Q plots and spot skew, outliers, or heavy tails in score data
How to Use It
- Open the template — click "Open This Template in the Editor" to load it with its sample data.
- Edit the data — type your own labels and values, or paste a column straight from a spreadsheet.
- Customize & export — pick colors, add a title, then download as PNG, SVG, or PDF. No signup, no watermark.
Frequently Asked Questions
Can I replace the sample quantiles and scores with my own data?
Yes. Click Open in editor and edit the data table directly, replacing the sample quantile-score pairs with your own values, adding or deleting rows as needed. The Q-Q plot updates instantly so you can see whether your points line up against the normal reference.
Is it free, and how do I save or share the chart?
It is completely free with no signup or account required. Everything runs in your browser, and you can export the finished plot as a PNG, SVG, or PDF to drop into reports, slides, or papers.
More Science & Research Templates
Ready to use the Test Score Normality Check template?
Open it free — edit the data and export in minutes.
Open in Editor