It is simply a distribution which has two modal classes: you cannot convert two of them into a mode.
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They are both modal classes - the distribution is bi-modal.
Well, honey, if you've got two classes strutting their stuff with the same high frequency in your grouped data, then guess what? You've got yourself a bimodal distribution, sweetie! That means you've got not one, but two modes to deal with - so just go ahead and flaunt those two modes proudly, darling.
The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.
The distribution is bimodal. That is all there is to it.
The mode has two or more bars on the graph with the same height.