CRX id
liibkodidconnkfecofhjbhkbdpmaick
liibkodidconnkfecofhjbhkbdpmaick
Description from extension meta
Sample Size Calculator for A/B Testing
Image from store
Description from store
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
Statistics
Installs
12
history
Category
Rating
5.0 (1 votes)
Last update / version
2025-03-13 / 3.0
Listing languages
en-US