Hypothesis testing involves several key steps. First, you formulate a null hypothesis (H0) and an alternative hypothesis (H1). Next, you collect data and choose an appropriate statistical test based on the data type and sample size. After calculating the test statistic, you compare it to a critical value or use a p-value to determine whether to reject or fail to reject the null hypothesis, ultimately assessing the strength of the evidence against H0.