You are seeing Ask web results for outliers.
 [out́lī́ər]
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Amazon.com: Outliers: The Story of Success (9780316017923): Malcolm
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In this book I'm interested in people who are outliers—in men and women who, for one reason or another, are so accomplished and so extraordinary and so ...
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Outliers (book) - Wikipedia, the free encyclopedia
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Outlier - Wikipedia, the free encyclopedia
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Dealing with 'Outliers': How to Maintain Your Data's Integrity ... Likely Sources of Outliers ... It's an unfortunate fact of life that data are not well-behaved. "Outliers"--unusual data values--crop up in most research projects involving data collection.
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Detecting Outliers ... Outliers make statistical analyses difficult. ... Statisticians have devised several methods for detecting outliers. All the methods first quantify how far the outlier is from the other values.
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; To check for outliers in one variable draw a boxplot. In MINITAB outliers are indicated by stars that are some distance away from the box. Consider the following example: ... Treatment of Outliers ... 1) Find a method that is not sensitive to outliers. For example, alternatives to Pearson's correlation coefficient...
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Quantitative Approach to Outliers ... Unfortunately, there is no widely accepted method to remove outliers automatically (however, see the next paragraph), thus what we are left with is to identify any outliers by examining a scatterplot of each important correlation.
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Normal distributions will not generate extreme outliers. Therefore, if the process we want to study is one that produces extreme outliers, a model that assumes a distribution other than the normal distribution may give better and more realistic answers than the model that assumes the normal distribution .
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