What are some common misconceptions about p-values?

What are some common misconceptions about p-values?

One common misconception is that a p-value indicates the probability that the null hypothesis is true.

So, what does a p-value actually represent?

A p-value measures the strength of evidence against the null hypothesis; it tells us how likely we would see our data if the null hypothesis were true.

Are p-values the only thing we should look at in statistical analysis?

No, p-values should be considered alongside confidence intervals, effect sizes, and the context of the study.

What is a common threshold for p-values?

A common threshold is 0.05, but this is arbitrary and should not be the sole criterion for decision-making.