A bimodal distribution is a statistical pattern where data points exhibit two distinct peaks or modes, indicating the presence of two different groups within a dataset. This concept is crucial in clinical practice as it can reveal underlying heterogeneity in patient populations, such as differing responses to treatment. An example is the distribution of body mass index (BMI) in a population, which may show peaks for underweight and overweight individuals, highlighting the need for tailored interventions.
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