How do you interpret the p-value in a hypothesis test?
Answer 1
Donald Hickman
The p-value in a hypothesis test quantifies the probability of obtaining results at least as extreme as those observed, assuming the null hypothesis is true. A low p-value indicates strong evidence against the null hypothesis, suggesting it may be false. Common thresholds are 0.05 or 0.01.
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