define outlier - Yahoo Search Results

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out·li·er

/ˈoutˌlī(ə)r/

noun
- 1. a person or thing situated away or detached from the main body or system: "less accessible islands and outliers"
- ▪ a person or thing differing from all other members of a particular group or set: "an outlier in Faulkner's body of work"
- ▪ a younger rock formation isolated among older rocks.
- ▪ a data point on a graph or in a set of results that is very much bigger or smaller than the next nearest data point.
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www.jmp.com › en_be › statistics-knowledge-portalBox Plot | Introduction to Statistics | JMP

www.jmp.com › en_be › statistics-knowledge-portal
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1 day ago · If there are values that fall above or below the end of the whiskers, they are plotted as dots. These points are often called outliers. An outlier is more extreme than the expected variation. These data points are worthy of review to determine if they are outliers or errors; the whiskers will not include these outliers. Figure 1 ...
www.jmp.com › mlr-residual-analysis-and-outliersMultiple Regression Residual Analysis and Outliers - JMP

www.jmp.com › mlr-residual-analysis-and-outliers
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4 days ago · In this example, the one outlier essentially controlled the fit of the model. It’s easy to visualize outliers using scatterplots and residual plots. But how do we determine if outliers are influential? A statistic referred to as Cook’s D, or Cook’s Distance, helps us identify influential points.
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www.geeksforgeeks.org › difference-between-outlier-and-anomalyDifference Between Outlier and Anomaly - GeeksforGeeks

www.geeksforgeeks.org › difference-between-outlier-and-anomaly
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3 days ago · This article will delve into the definitions, characteristics, and distinctions between outliers and anomalies. What is an Outlier? An outlier is a data point that significantly deviates from the other observations in a dataset. Outliers can occur due to variability in the data or experimental errors.
www.linkedin.com › advice › 3Navigating Outlier Significance in Data Analysis - LinkedIn

www.linkedin.com › advice › 3
2 days ago · Evaluating the impact of outliers on your analysis is a step that cannot be overlooked. If your data analysis involves statistical models, outliers can have a disproportionate effect on the results.
www.linkedin.com › advice › 0Navigating Outlier Opinions in Team Data Analysis - LinkedIn

www.linkedin.com › advice › 0
5 days ago · When you and your colleagues encounter outliers, start by defining what qualifies as an outlier in the context of your specific data. This might involve setting thresholds based on...
oxfordre.com › socialwork › displayResearch: Overview | Encyclopedia of Social Work

oxfordre.com › socialwork › display
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1 day ago · Outlier research provides the impetus to help modify models and shift paradigms. Several of the research study purposes outlined in this article are formulated by a process that eliminates data that do not fit within the study question parameter by setting a defined parameter for normalcy.
www.linkedin.com › advice › 0Outliers' Influence on Statistical Interpretation - LinkedIn

www.linkedin.com › advice › 0
3 days ago · Outliers are the data points that stand out from the rest of your dataset due to their extreme values. They can be unusually high or low and can distort the...