
Applied Statistics
p-Values: What They Actually Mean (And What They Don't)
A p-value of 0.04 does not mean there is a 96% chance your hypothesis is correct. It does not even mean your result is important. Here is what it actually means.
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Hypothesis testing, regression, survival analysis, and the statistical foundations that underpin rigorous data work.

A p-value of 0.04 does not mean there is a 96% chance your hypothesis is correct. It does not even mean your result is important. Here is what it actually means.
Most practitioners fit a linear regression, check the R-squared, and move on. But R-squared tells you nothing about whether the model's assumptions are met.
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