This Streamlit application simulates A/B tests, providing a platform to evaluate the performance of different statistical tests based on data distribution.
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Updated
Mar 8, 2024 - Python
This Streamlit application simulates A/B tests, providing a platform to evaluate the performance of different statistical tests based on data distribution.
Here I demonstrate the performance difference between the Poisson and the classic bootstrap by estimating the confidence interval for the difference of CTRs of the two user groups
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