What are p-values?
An example of an AI chatbot conversation about understanding p-values in statistics.
Can you explain what p-values are in statistics?
Sure! A p-value is a measure that helps you determine the significance of your results in hypothesis testing.
How do you interpret a p-value?
A p-value indicates the probability of observing your data, or something more extreme, if the null hypothesis is true. A low p-value suggests that the null hypothesis may not be true.
What is considered a low p-value?
Typically, a p-value of less than 0.05 is considered low, indicating strong evidence against the null hypothesis.
Are there any limitations to using p-values?
Yes, p-values can be misinterpreted and do not measure the size of an effect or the importance of a result.
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