When should I use a p-value in my analysis?

When should I use a p-value in my analysis?

You should use a p-value when you want to determine the statistical significance of your results in hypothesis testing.

Can you explain what a p-value actually represents?

A p-value measures the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.

What is a common threshold for p-values?

A common threshold is 0.05, which indicates a 5% risk of concluding that a difference exists when there is no actual difference.

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.

What should I consider instead of p-values?

Consider using confidence intervals, effect sizes, and Bayesian methods for a more comprehensive analysis.