Apply appropriate techniques to construct the required distribution.Visualize the distribution using histograms or distribution.When given a table of distribution, use the steps below as a guide: How To Describe the Shape of a Distribution?ĭescribe the shape of distribution by using the different factors affecting its shape: its peaks, symmetry, skewness, and at times, uniformity. In the next section, we’ll explore different distributions and shapes to help you master the process of describing the shape of a distribution. By being aware of these factors, we also immediately know the important components and behavior of the distribution. These are the properties needed for us to describe the shape of a given distribution. Meanwhile, when the shape of the distribution is leaning towards the left corner, the distribution is negatively skewed.When the shape of the distribution is leaning towards the right corner, the distribution is positively skewed.When the shape of the distribution is asymmetric, we can also see whether the distribution is positively or negatively skewed. When the shape of the distribution return folds that are not mirror images, the distribution is asymmetrical.ģ.When the distribution’s shape is folded and the left and right folds are each other’s mirror images, the distribution is symmetrical.As with a function’s curve, distributions and their shapes may or may not exhibit symmetry. When the shape shows three or more peaks, the distribution is multimodal.Ģ.Similarly, when the distribution has two peaks, we call it bimodal.This means that when there is only one peak, the distribution is unimodal.The peaks of a distribution’s shape often represent its mode/s.The number of peaks present in the distribution affects its shape. These are the factors that affect the shape of a distribution:ġ. These factors also help us identify key measures of the distribution. There are different factors that affect the shape of a distribution as discussed in the previous section. Factors Affecting the Shape of a Distribution The shape of the distribution will depend on many factors, so let’s break down these factors and understand what they represent. Read more Variance of XY - Definition, Applications, and Examples
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