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Judge whether the A/B test results are superior or not.

This plugin, A/B JUDGE, helps you make informed decisions on A/B test results. It allows you to compare and analyze the performance of different groups in your A/B tests. By inputting the results of your A/B tests, you can easily determine which group is superior and make data-driven decisions. Whether you're a marketer, product manager, or developer, this plugin will help you optimize your strategies and improve your outcomes. Stop guessing and start judging with A/B JUDGE!

Learn how to use A/B JUDGE effectively! Here are a few example prompts, tips, and the documentation of available commands.

Example prompts

  1. Prompt 1: "Can you help me perform a chi-square test for an A/B test?"

  2. Prompt 2: "I need to calculate the significance level for an A/B test, can you assist me?"

  3. Prompt 3: "What is the p-value for my chi-square test?"

  4. Prompt 4: "I have the control and test group conversion and not conversion counts. How can I determine if the results of my A/B test are significant?"

  5. Prompt 5: "Can you explain the concept of significance level in an A/B test?"

Features and commands

chiSquareTestThis command calculates the chi-square test for an A/B test. It requires the control group conversion and not conversion user counts, as well as the test group conversion and not conversion user counts. Additionally, you need to provide the significance level for the test. The command returns whether the test is significant and the p-value of the chi-square test.


User authenticationNo user authentication
API documentation

For AI

DescriptionControl and test group for A/B Testing Checker. Confidence intervals for conversion rates should be indicated first. Add the following explanation for the confidence interval included in the response; Confidence intervals indicate the range of conversion ratios. If the question is in Japanese, ab testing should be translated to "A/B テスト".


First added28 June 2023

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