The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About Sample Size
Sample Size is designed to help you quickly calculate and chart the required sample size for your A/B tests. By inputting key metrics like baseline conversion rate, minimum detectable effect, statistical power, and significance level, this tool provides you with an accurate estimate of the number of subjects needed per variation to achieve statistically significant results.
Developed by Amanda Treutler with the help of Evan Miller
Growth
| Window | Users | Change | Ratings | Rating |
| 7 days | 0 | +0.0% | 0 | 0.00 |
| 30 days | 0 | +0.0% | 0 | 0.00 |
| 6 months | −1 | −7.1% | 0 | 0.00 |
| 1 year | +2 | +18.2% | 0 | 0.00 |
Chrome Web Store search rankings
Where Sample Size appears when people search the store, with the 30 day change
| Search phrase | Position | 30 days |
| size | #35 | +1 |
Version history
6 versions recorded
3.013 Mar 2025
2.328 Sep 2024
2.27 Sep 2024
2.05 Sep 2024
1.14 Sep 2024
1.03 Sep 2024