Hypothesis testing: It involves making an educated guess about a population parameter and determining if there is enough evidence to support or reject that guess.
Statistical significance: It refers to the probability that an observed difference in data is not due to random chance but rather reflects a true difference.
p-value: This measures the strength of evidence against the null hypothesis, with smaller values indicating stronger evidence against it.