April 30, 2024, 6:57 a.m. | Mariya Mansurova

Towards Data Science - Medium towardsdatascience.com

Part 2: Using bootstrap for observations and A/B tests

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In the first part of this series, we've discussed the basic ideas of computer simulations and how you can leverage them to answer "what-if" questions. It's impossible to talk about simulations without bootstrap.

Bootstrap in statistics is a practical computer method for estimating the statistics of probability distributions. It is based on the repeated generation of samples using the Monte Carlo method from an existing sample. This …

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