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Sample Size Calculator for A/B Testing 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
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
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Whether the listing includes at least one video.
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Declared language locales.
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Listing exposes a contact email.
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Case-insensitive substring match in the name.
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Case-insensitive substring match in the description.
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Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
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