A p-value is the measure of the probability of having results equal to or more than the results achieved under a specific hypothesis assuming that the null hypothesis is correct. This represents the probability that the observed difference occurred randomly by chance.
- Low p-value which means values ≤ 0.05 means that the null hypothesis can be rejected and the data is unlikely with true null.
- High p-value, i.e values ≥ 0.05 indicates the strength in favor of the null hypothesis. It means that the data is like with true null.
- p-value = 0.05 means that the hypothesis can go either way.
