p-Value is the probability that the results from your sample data occurred by chance or they are statistically significant. I.e. It quantifies the strength of evidence against the null hypothesis.

p-Value can also be called “how often”. A low p-value suggests stronger evidence against the null hypothesis, leading to its potential rejection. if the p-value is very low, then it means that your original hypothesis is likely to be wrong.