What is the difference between a p-value and a confidence interval, and how do I interpret them?
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A p-value indicates the probability of observing a result at least as extreme as the one observed, assuming the null hypothesis is true. A confidence interval provides a range of values within which the true population parameter is likely to fall with a certain level of confidence.