What is the importance of p-values in statistics?
P-values help determine the significance of results in hypothesis testing, indicating whether to reject the null hypothesis.
How do you interpret a p-value of 0.05?
A p-value of 0.05 suggests that there is a 5% chance of observing the data if the null hypothesis is true, often considered the threshold for significance.
What are the limitations of using p-values?
P-values can be misleading; they don't measure the size of an effect or the importance of a result, and they can be influenced by sample size.
Are there alternatives to p-values?
Yes, alternatives include confidence intervals, effect sizes, and Bayesian methods, which can provide more informative insights.
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