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Detecting Outliers Detecting univariate outliers Detecting multivariate outliers Outliers Outliers are cases that have data values that are very different from the ...
1 . Outliers . Outliers are data points that are not like many of the other points, or values. Here we learn about some tools to detect them.
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Title: Regression Outliers Author: Bill Ganza Last modified by: Bill Ganza Created Date: 11/16/2008 3:47:03 PM Document presentation format: On-screen Show (4:3)
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Multiple Regression – Assumptions and Outliers Multiple Regression and Assumptions Multiple Regression and Outliers Strategy for Solving Problems
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Outliers Do Now Bill Gates makes $500 million a year. He’s in a room with 9 teachers, 4 of whom make $40k, 3 make $45k, and 2 make $55k a year.
Outliers and Influential Points Erik Johnson AP Statistics 5/25/04 Definitions Outlier: A value in a set of data that does not fit with the rest of the data ...
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DATA CODING AND SCREENING Jessica True Mike Cendejas Krystal Appiah Amy Guy Rachel Pacas What do we do with outliers? There are four basic ways in which outliers can ...
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We Share Ideas . Outliers . Outliers are men and women who do things out of the ordinary; To understand why certain people become outliers we must look at factors ...
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Influential Points and Outliers Debbi Amanti OUTLIERS: Data points two or three standard deviations from the mean of the data. Observations that differ significantly ...
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... Methodology with Consideration for an Inefficient Frontier A proposed improvement on the current method requires an outlier methodology First, identify outliers relative ...
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A small number of Outliers actually result in discriminatory findings. * HMDA Outlier Fair Lending Project Identification of Outliers Fair Lending team of economists ...
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Box Plots and Outliers Box Plot We need 5 numbers, called the 5 number summary: 1. minimum value 2. Q1 3. median 4. Q3 5. maximum value Harry Potter Data ...
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Some outliers can be defined as global outliers, some can be defined as local outliers to a given cluster; O 2 would not normally be considered an outlier with ...
Combating Outliers in map-reduce. Srikanth Kandula. Ganesh Ananthanarayanan, Albert Greenberg, Ion Stoica, Yi Lu, Bikas Saha, Ed Harris
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Outlier Analysis Craig A. Struble, Ph.D. Dept. of Mathematics, Statistics, and Computer Science Marquette University Overview Outliers Influence of Outliers Outliers ...
Are There Any Outliers? Using the 1.5*IQR Rule Say we have the following data: 1,2,5,5,7,8,10,11,11,12,15,20 min Q1 Q3 max ...
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Stat 112: Lecture 15 Notes Finish Chapter 6: Review on Checking Assumptions (Section 6.4-6.6) Outliers and Influential Points (Section 6.7) Homework 4 is due this ...
Detect collective outliers in temporal sequences Learn a Markov model from the sequences A subsequence can then be declared as a collective outlier if it significantly ...
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Outliers . 2000 Presidential Election; Remember Florida; The scatterplot on the next page details the number of votes for Bush and the number of votes for Buchanon.
Outliers can be problematic because they make the mean unrepresentative and can pull it away from the median. * When thinking about outliers there are many causes of ...
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