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In their article "What is a Pareto Distribution?," Dulaney Dulaney and William Boyle explain that this type of a distribution occurs in a population when there are a few individuals who account for the vast majority of the total number. In this case, it is 20% of people who have 80% of the income. It is important to note that in general, only 2%-5% of all individual observations can be explained by a pareto distribution. In their article "How to Build Pareto Lines," Jacob Massalski provides insights on how to build paretos lines for color blindness. The first step is to create the pareto line by using a parametric model. This parametric model is used to create a line that includes 80% of the data. The next step is determining the area under the pareto line, which can be done by drawing a graph with both axes ranging from 0 to 1. Finally, it is crucial to test the results and find out if they fit with what has been predicted. In their article "Pareto Distribution," Michael Sedlak and Paul Schultz explain that this type of distribution occurs when there are few individuals who account for most of the total number in a particular population. The majority of the total number, which can range from 1 to 90, is explained by just 2% of the population. One common misconception with paretos lines is that they are always horizontal or vertical. This is not always true because there are times when they may be skewed in one direction. There are also two types of skew: positive and negative. With positive skew, the most extreme value extends to the right. With negative skew, the most extreme value extends to the left. Positive skew represents a slight "gradient" or slope toward one side of the line (the right) while negative skewing represents a slight "gradient" or slope toward another side (the left). Paretos lines are also important to color vision deficiency. They can help researchers test for color deficiency, which occurs when the non-dominant, primary visual cortex is not receiving an image of the full color spectrum. Pareto distributions are often used for this purpose because they usually contain the same amount of data (one or two persons) and allow researchers to determine what portion of the spectrum is not being registered by the brain. As mentioned above, paretos lines can be used to estimate how much light is needed for a particular light source to be visible. The use of pareto lines is relevant to lighting systems, since researchers are able to estimate how much light is needed for a particular area.Pareto charts are used in business to present the top few problems, so the management concentrates on fixing those few problems. The Pareto principle can also be applied to other areas, such as quality control. For example, quality control management concentrates on removing defective products and is less concerned with removing non-defective products. The Pareto principle has also been applied in the field of production and manufacturing systems. eccc085e13
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