hypothesis-testing

This story was originally published on HackerNoon at: https://hackernoon.com/maximizing-the-power-of-hypotheses-in-product-development.
How to work effectively with hypotheses, enabling them to navigate the complexities of product development
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Hypotheses are valuable tools that allow product managers to explore inferences, make data-driven decisions, and iteratively refine their product strategies. The art of working with hypotheses in product management requires a strategic approach and a commitment to continuous learning and adaptation. From crafting clear problem statements to structuring hypotheses with "if/then" statements, product managers can ensure that their hypotheses are focused.

This story was originally published on HackerNoon at: https://hackernoon.com/tales-of-the-undead-salmon-exploring-bonferroni-correction-in-multiple-hypothesis-testing.
Bonferroni correction as a solution for multiple comparisons problem in A/B tests. Here is an explanation of how it works with a simulation written in Python.
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This story was written by: @igorkhomyanin. Learn more about this writer by checking @igorkhomyanin's about page, and for more stories, please visit hackernoon.com.

This article explains the problem of testing multiple hypotheses without proper adjustments. It introduces the Bonferroni correction as a solution to control false positive results. Simulation demonstrates the effectiveness of the correction. Understanding and applying corrections in multiple hypothesis testing is essential for accurate data analysis and decision-making.