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Fast, easy, and versatile statistical significance calculator for your A/B tests.
Latest Version
Version
1.02
Update
August 15, 2020
Size
18.04KiB
Developer
blastanalytics.com
Category
Users
123 
Rating
4.4 ★
Manifest Version
2
Web Store Status
Extension ID
Languages Support
Permissions
DeclarativeContent
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Blast A/B Test Stat Significance Calculator Extension
Fast, easy, and versatile statistical significance calculator for your A/B tests. Most statistical significance calculators allow you to calculate confidence levels for binomial metrics only. However, we realize that A/B testing can expand beyond just this type of metric. The Blast A/B test calculator extension serves ALL A/B testing scenarios — this includes both conversion based and continuous metrics, such as average order value (AOV) and revenue per visitor (RPV). Also, the calculator allows for different confidence thresholds, as well as the option to remove outliers from the calculations.
Calculation options:
-- Binomial: Binomial test of proportions
-- Continuous: T-test difference in two sample means
-- Non-Parametric: Wilcoxon (or Mann-Whitney U Test).
To know which calculation best fits your data, see https://www.blastanalytics.com/blog/last-statistical-significance-calculator-youll-ever-need
Helpful tips:
-- Binomial tests have text entry boxes that allow for simple A/B test calculations.
-- Since both the continuous and non-parametric metrics require session/visitor level data, a CSV file with the data needs to be uploaded. (see https://www.blastanalytics.com/blog/calculate-statistical-significance-for-session-based-metrics-in-ab-test for formatting tips)
For more information, go to https://www.blastanalytics.com/blast-statistical-significance-calculator. This extension is property of Blast Analytics and Marketing.
Read more
Calculation options:
-- Binomial: Binomial test of proportions
-- Continuous: T-test difference in two sample means
-- Non-Parametric: Wilcoxon (or Mann-Whitney U Test).
To know which calculation best fits your data, see https://www.blastanalytics.com/blog/last-statistical-significance-calculator-youll-ever-need
Helpful tips:
-- Binomial tests have text entry boxes that allow for simple A/B test calculations.
-- Since both the continuous and non-parametric metrics require session/visitor level data, a CSV file with the data needs to be uploaded. (see https://www.blastanalytics.com/blog/calculate-statistical-significance-for-session-based-metrics-in-ab-test for formatting tips)
For more information, go to https://www.blastanalytics.com/blast-statistical-significance-calculator. This extension is property of Blast Analytics and Marketing.
Source Manifest.json
{"update_url": "https://clients2.google.com/service/update2/crx", "name": "Blast A/B Test Stat Significance Calculator", "version": "1.02", "description": "Fast, easy, and versatile statistical significance calculator for your A/B tests.", "background": { "scripts": ["background.js"], "persistent": false }, "page_action": { "default_popup": "popup.html" }, "permissions": ["declarativeContent"], "icons": { "16": "blast-16.png", "48": "blast-48.png", "128": "blast-128.png" }, "manifest_version": 2 }
Read more
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User reviews
Lauren Rossow (ID: 00000012d640817b) Voted 2 ★ - Updated 08/17/2021
Jason Case (ID: 0000008983dd2e24) Voted 5 ★ - Updated 07/22/2020
Brad Millett (ID: 0000000706effa2f) Voted 5 ★ - Updated 07/22/2020
Sara Hoffman (ID: 000000a358a305aa) Voted 5 ★ - Updated 07/22/2020
Joe Christopher (ID: 000000463116ad4d) Voted 5 ★ - Updated 07/22/2020
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