Statistical hypothesis testing is a method used to determine the likelihood that a statement is true based on observed data. It involves four steps: creating a null hypothesis, choosing a test statistic, calculating the P-value, and comparing it to a significance level. This process helps researchers make informed decisions about the validity of their hypotheses.