Outliers Essay

Dec 13, 2023

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Outliers Essay

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box plots and outliers

Box Plot. We need 5 numbers, called the 5 number summary:1. minimum value2. Q13. median4. Q35. maximum value. Harry Potter Data. The 5 number summary is:Minimum 70.9Q1 78.9Median 81.35Q3 84.45Maximum 86.2. Drawing the plot free hand.

558 views • 22 slides

Are There Any 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. Notice that you must have ordered data before you can find the Five – Number – Summaries . . Find the median first. It’s the middle point.

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Detecting Outliers

Detecting Outliers. Detecting univariate outliers Detecting multivariate outliers. Outliers. Outliers are cases that have data values that are very different from the data values for the majority of cases in the data set.

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Outliers

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. What is the mean salary of everyone in the room? What would be the mean salary if Gates wasn ’ t included?. Mean With Gates: $50,040,500.

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Detecting Outliers

Detecting Outliers. Detecting univariate outliers Detecting multivariate outliers Homework problems. Outliers. Outliers are cases that have data values that are very different from the data values for the majority of cases in the data set.

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Influential Points and Outliers

Influential Points and Outliers. Debbi Amanti. OUTLIERS:. Data points two or three standard deviations from the mean of the data. Observations that differ significantly from the pattern of the REST OF THE DATA

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Malcom Gladwell’s “ Outliers ”

Malcom Gladwell’s “ Outliers ”. Summary by Daniel Toro. Part 1. Gladwell argues that outliers are a result of factors other than individual abilities or phenomenal skill.

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Outliers

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. age. x = 22. 24 26 28. 16 18 20.

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Outliers

Outliers. By Malcolm Gladwell. Katherine Yancey. Malcolm Gladwell. Born September 3, 1963 Formerly a writer for Washington Post , now works as a staff writer for the New Yorker Has written four New York Times Bestsellers. Outliers. Written in 2008

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Outliers

Outliers. Small Group Discussions. Location, Location, Location. Why does where we are from and the culture we belong to determine our achievements and successes? Discuss the oddity of first of the year (Jan., Feb., Mar. ) birthdays.

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Outliers Powerpoint #4

Outliers Powerpoint #4. Daniel Toro AP English Language. Part 1.

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Deliverable 2.8: Outliers

Deliverable 2.8: Outliers. Gary Brown Office for National Statistics UK. Outliers = Outlier detection and treatment aspects of combining data (survey/administrative) including options for various hierarchies. Overview. Introduction Definitions Identification Treatment Recommendations.

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Outliers

Outliers. Apply Grubbs test for The following the data in the example 3.7.2. Solve the following problem to test for outlier: The following data are taken during a volumetric titration: e.p . in mls : 10.1, 10.2, 9.9, 11.1 , 10.3,9.8,10.0 Apply Q-Test & Grubbs test.

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Statistics and Outliers

Statistics and Outliers. Aaron Saks Process Advancement Leader Boise, Inc 10/26/2011. Bio. Graduated in 2007 – ChemE and PSE Started career with Boise Inc, Wallula WA as a process engineer October 2008 went to work for Envoy Development

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Term Paper DETECTING OUTLIERS

Term Paper DETECTING OUTLIERS. Group – 5 Santhosh Kumar Kotagiri Allam Swetha Reddy Manideep Krishna Bhimavarapu. Outliers. Data that deviates from the normal data is called an outlier. An outlier can be: Any data that is inconsistent Rare data Deviant object

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Distribution and Outliers

Distribution and Outliers. Screening. (Significant Effects). Hadlum vs Hadlum. A univariate example that illustrates deviation from a normal pattern. Normal duration. Percentage (n=13634). Duration of Pregnancy. Bannet (1978) Appl. Statist. 27 , 242-250.

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Outliers with „natural limits“

Outliers with „natural limits“. SHARE Data Cleaning Workshop Berlin, June 2009 Sabrina Zuber. Outliers & cross checks. For all waves we want to do some more checks For wave 1 and wave 2 we have already some clues where are problems in the data

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Data With Outliers

Data With Outliers. Lesson 3-2 Pg. # 91-93. CA Content Standards. Statistics, Data Analysis, and Probability 1.3: I understand how leaving out or including outliers affects measures of central tendency. Statistics, Data Analysis, and Probability 1.2:

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Scheduling with Outliers

Scheduling with Outliers. Ravishankar Krishnaswamy (Carnegie Mellon University) Joint work with Anupam Gupta, Amit Kumar and Danny Segev. Introduction. Classical Scheduling Problems Given jobs and machines Find best schedule according to some objective Simple Example

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Residuals, outliers, influential observations

Residuals, outliers, influential observations. AP Statistics. Rediduals. A residual is the difference between an ovserved value of the response variable and the value predicted by the regression line. That is, Residual = observed y – predicted y Or

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Detecting Outliers

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The Detection of Outliers

The Detection of Outliers . Mr. Faiz Alsuhail, Statistics Finland faiz.alsuhail@stat.fi . Outline of the presentation. Faiz Alsuhail. The setup of the problem Description of the method Some results with Finnish turnover data Discussion. 1.1.2020. 2. Setup. Faiz Alsuhail.

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