You are likely familiar with the probability density function of the normal distribution--that is, the bell-shaped curve.
A bimodal distribution is one whose probability density function has two 'humps' or maxima. In other words, values of the random variable are more likely to occur around where those two maxima occur than elsewhere, in the same way that values of a normally distributed random variable are more likely to occur around its maximum.
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By specifying the centre and standard deviation of the distribution but also mentioning the fact that it is bimodal and identifying the modes.
No, the normal distribution is strictly unimodal.
This could be a bimodal. There are many other factors that would have to be taken into account as well.
A bimodal distribution.