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This Streamlit web application is designed for data analysts and marketers to evaluate the results of A/B tests. It provides essential statistical calculations and insights to help you understand whether your experiments have produced significant results.
This Streamlit application simulates A/B tests, providing a platform to evaluate the performance of different statistical tests based on data distribution.
Python library designed to streamline common and advanced analytical tasks in data analysis, statistics, and machine learning. It offers a broad range of tools for statistical testing, A/B test analysis, optimization algorithms, visualizations and mathematical computations.