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A bimodal distribution can arise as a mixture of two different unimodal distributions (i.e. distributions having only one mode). In other words, the bimodally distributed random variable X is defined as $Y$ with probability $\alpha$ or $Z$ with probability $(1-\alpha)$, where $Y$ and $Z$ are unimodal random variables and $0 <\alpha <1$ is a mixture coefficient.