What does a p-value actually tell you in hypothesis testing?
Strict Answer Capsule
A p-value quantifies the probability of observing sample data at least as extreme as the observed results, assuming the null hypothesis (H₀) is true. It does not measure the probability that the alternative hypothesis is true, nor does it measure the effect size.
Detailed Conceptual Breakdown
In university coursework, mastering what does a p-value actually tell you in hypothesis testing? is fundamental to scoring well on examinations and written assessments. Faculty look for clear differentiation of underlying mechanisms rather than memorized surface definitions.
Key Exam & Assignment Takeaways
- Focus on: null hypothesis
- Focus on: significance level alpha
- Focus on: type I error
- Focus on: inferential statistics
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