13 Labs — Small Experiments
One outlier can move an average
A browser-local statistics worksheet. Enter 3–200 finite numbers, then compare the mean and median with and without one identified outlier removed. Optionally resample sample means with replacement. Everything runs in this page; your entries are not uploaded or stored.
Outputs are illustrative, generated from the numbers you type. They are not evidence about the real world, not measurements, and carry no significance claims, p-values or predictions.
Worksheet
Results
No calculation yet. Press “Run calculation” after the worksheet is enabled.
Summary of entered values
| Statistic | Value |
|---|---|
| Count | — |
| Mean | — |
| Median | — |
| Minimum | — |
| Maximum | — |
| Range | — |
With and without one identified outlier
| Statistic | Full dataset | Outlier removed |
|---|---|---|
| Identified outlier | — | — |
| Count | — | — |
| Mean | — | — |
| Median | — | — |
| Range | — | — |
Resampled sample means
Settings: none yet.
| Quantity | Value |
|---|---|
| Samples drawn | — |
| Sample mean of sample means | — |
| Smallest sample mean | — |
| Largest sample mean | — |
Assistive data table of every drawn sample mean
| Draw | Sample mean |
|---|---|
| — | — |
What this worksheet does not do
- It makes no inferential significance claims and computes no p-values.
- It makes no predictions about new or unseen data.
- The resample range and count describe only the draws shown, not the population.
- Removing an outlier is a judgment call; the comparison is offered so you can see the effect, not as a recommendation. See the guide on averages and outliers.
- Small samples make approximate uncertainty statements less reliable; see sample size and reading the experiment.