What is the difference between p-value and correlation?
The p-value measures the strength of evidence against the null hypothesis, while correlation quantifies the relationship between two variables.
Can you explain how p-value is calculated?
Sure! The p-value is calculated based on the test statistic from your data and the distribution of that statistic under the null hypothesis.
What does a low p-value indicate?
A low p-value suggests that there is strong evidence against the null hypothesis, indicating that the observed data is unlikely under that hypothesis.
How does correlation differ from causation?
Correlation indicates a relationship between two variables, but it does not imply that one causes the other.
Can you give an example of correlation?
Certainly! An example of correlation is the relationship between hours studied and exam scores; generally, more study hours correlate with higher scores.
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