34. What does it imply to have high and low p-values?
A p-value is a measure of the likelihood of getting outcomes that are equal to or greater than those obtained under a certain hypothesis, assuming the null hypothesis is true. This indicates the likelihood that the observed discrepancy occurred by coincidence. If the p-value ≥ 0.05, the null hypothesis can be rejected, and the data is unlikely to be true null. The strength in support of the null hypothesis is indicated by a high p-value, i.e. values ≥ 0.05. It indicates that the data is true null.
