👉 Bimodal is a statistical concept in which two distributions of data have different frequencies, meaning there are more occurrences of one distribution than the other. In other words, if you have two distributions of values that are equally likely to be observed, then these two distributions will have different frequencies. For example, consider two sets of data: A set with 10 observations and a frequency of 2, and another set with 5 observations and a frequency of 3. The bimodal distribution
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What is the definition of Bimodality? 🙋
👉 Bimodality is a statistical concept that describes how two or more variables are distributed in relation to each other, with one variable being significantly more dominant than another. This can occur when data points fall on opposite ends of the distribution curve, indicating that one variable's value is higher or lower than the other, but not both at the same time. Bimodality is often seen in statistical models where there are two types of variables that are statistically independent (i.e., they have no correlation
