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There is a close relationship between confidence intervals and hypothesis test. The hypothesis or question determines how this will be done. In healthcare, we are aiming to find a correlation and answer in the data to better provide for our patient population outcomes. It is vital to know that correlation does not prove causation; clinical significance determines the practical application to a group or an individual (Garijo et al., 201). Clinical significance is also utilized in the application for improving the quality of life of the individual and provides a path from health research to actual patient care.