What do you understand when the p-values are high and low?

A p-value determines the results equal to or more than the results achieved under a specific hypothesis when the imaginary null hypothesis is correct. It is the measure of the probability and indicates the probability that the observed difference occurred by chance.

• Low p-value i.e., values <0.05 represents that the null hypothesis can be ignored, and data is not likely with true null.
• High p-value i.e., values >0.05 means the null hypothesis can’t be ignored and data is like with true null.
• P-value=0.05 indicates null hypothesis can go either way.