Hypothesis testing in healthcare is used to evaluate the effectiveness of treatments, interventions, or diagnostic tests. By formulating a null hypothesis (e.g., a new drug has no effect) and an alternative hypothesis (e.g., the drug is effective), researchers can use statistical methods to analyze data from clinical trials. This process helps determine whether observed outcomes are statistically significant, guiding clinical decisions and policy-making. Ultimately, it aids in ensuring that patients receive evidence-based care.
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