Evaluating statistical significance

Now that you know the personalization variant outperformed the control, it's time for you to determine whether the result is statistically significant. Remember, statistical significance is vital to understanding whether a test showed a positive result by chance or if it is reflective of a true difference between the variants. This will enable your marketing team to make an informed choice about whether to roll out the feature or not.

Test out the stats.ttest_ind() using control and personalization as the inputs.

Is the difference between the control and personalization statistically significant?

Các phương án trả lời

Yes, the results are statistically significant with p = 0.510.

No, the results are not statistically significant with p = 0.510.

No, the results are not statistically significant with p = 0.006.

Yes, the results are statistically significant with p = 0.006.

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Evaluating statistical significance

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