A practical example can be found at Mayo Clinic. Suppose Mayo Clinic researchers want to know if a new drug reduces cholesterol levels. They collect data from a sample of patients and use a hypothesis test to compare the mean cholesterol levels before and after the treatment. If the p-value is less than 0.05, they can conclude that the drug has a significant effect. Additionally, they might calculate a 95% confidence interval for the mean reduction in cholesterol levels. This interval provides a range that helps understand the potential variability in the drug's effect, ensuring that decisions about its use are based on reliable and precise estimates