Last updated on Jun 17, 2024

How can you explain the significance of p-values to a non-statistical audience?

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Understanding p-values can seem daunting if you're not familiar with statistical jargon. Essentially, a p-value helps you determine the strength of your results when conducting any sort of experiment or study. It's a tool used in data science to measure whether the findings you've observed could have happened by chance, or if they're likely the result of a specific cause. Think of it as a way to quantify skepticism. If the p-value is low, it suggests that your results are unlikely to be due to just random chance, which means you can be more confident in the validity of your findings.

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