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I looked answers for this question but couldn't find anything clear, everyone says something different.

I wonder what is the most appropriate method for testing the statistical significance of our A/B testing results. Currently, we are using Chi-Sqr but I am not sure if it is good or not for us.

For example:

version A: 90,000 visitors, 50,000 purchases
version B: 45,000 visitors, 25,700 purchases

I want to test if there is a significant difference between the conversion rates of two versions.

I looked answers for this question but couldn't find anything clear, everyone says something different.

I wonder what is the most appropriate method for testing the statistical significance of our A/B testing results. Currently, we are using Chi-Sqr but I am not sure if it is good or not for us.

I looked answers for this question but couldn't find anything clear, everyone says something different.

I wonder what is the most appropriate method for testing the statistical significance of our A/B testing results. Currently, we are using Chi-Sqr but I am not sure if it is good or not for us.

For example:

version A: 90,000 visitors, 50,000 purchases
version B: 45,000 visitors, 25,700 purchases

I want to test if there is a significant difference between the conversion rates of two versions.

Source Link

Most appropriate test for A/B testing results

I looked answers for this question but couldn't find anything clear, everyone says something different.

I wonder what is the most appropriate method for testing the statistical significance of our A/B testing results. Currently, we are using Chi-Sqr but I am not sure if it is good or not for us.