Hornik‚ K.‚ and Meyer‚ D. (2008). Text mining infrastructure in r [Fellows‚ 2012] Fellows‚ I. (2012). wordcloud: Word Clouds. R package version 2.0. [Filzmoser and Gschwandtner‚ 2012] Filzmoser‚ P. and Gschwandtner‚ M. (2012). mvoutlier: Multivariate outlier detection based on robust methods. R package version 1.9.7. [Frank and Asuncion‚ 2010] Frank‚ A. and Asuncion‚ A. (2010). [Gentry‚ 2012] Gentry‚ J. (2012). twitteR: R based Twitter client. R package version 0.99.19. [Giorgino‚ 2009] Giorgino‚ T. (2009)
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The reason for it being an outlier of the data was becuase it had a high life expectancy (80yrs.)‚ but a low obesity rate (6.3%). In South Korea the country’s economy along with its diet changed greatly in the 1970’s. Some changes included: a change in consumption of animal food products‚ a lessening of fat consumption‚ as well as a decline in cereal and other grain consumptions (American Journal Clinical Nutrition). An additional outlier that was for life expectancy and poverty was
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QUANTITATIVE METHODS - STATISTICS ------------------------------------------------- (SUBJECT CODE: STA1114) ------------------------------------------------- Instructions to Students: 1. Assignment questions consist of: * Question One - 25% * Question Two - 25% 2. Assignment question must be combined into ONE (1) booklet‚ attached with “Assignment Submission Form” as the front cover‚ enclosed with the “Marking Criteria.” typed with double spacing
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variables ie. Area & Area Code‚ an initial regression sans outliers showed First Price (sig=0.000)‚ Last Price (sig=0.000)‚ Days (sig=0.000)‚ Tax (sig=0.000) and RC (sig=0.236) to be the relevant variables (significance level <= 0.025) with an R^2 value of 0.955 and an Adjusted R^2 value of 0.954. Outliers: On analyzing regression coefficients and trend lines for individual variables in scatter plots‚ three clear outliers were identified and removed-75 Cambridge Pky( Sale Price-875‚000)
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Outliers‚ RR#10 1. Citation: Gladwell‚Malcolm. Outliers: The Story of Success. New York: Little‚ Brown and Company‚ 2008. Pp. 177-200. 2. Summary: First two parts of chapter seven tells that Korean airlines have a high rate of crashing. According to the record‚ the loss rete for Korean Air in the period 1988 to 1998 was more than seventeen times higher than in the same period of United Airlines. But it turned itself around since 1999. In 2006‚ Air Transport World gave the Phoenix Award Korean
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Assessment 4: Titanic dataset Submitted by: Submission date 8/1/2013 Declaration Author: Dated: 29/12/2012 Contents Business objectives: The database corresponds to the sinking of the titanic on April the 15th 1912. It is part of a database containing the passengers and crew who were aboard the ship‚ and various attributes correlating to them. The purpose of this task is to apply the methodology of CRISP-DM and follow
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Strong correlation & outlier (r = 0.71) Several points are evident from the scatterplots. When the slope of the line in the plot is negative‚ the correlation is negative; and vice versa. The strongest correlations (r = 1.0 and r = -1.0 ) occur when data points fall exactly on a straight line. The correlation becomes weaker as the data points become more scattered. If the data points fall in a random pattern‚ the correlation is equal to zero. Correlation is affected by outliers. Compare the first
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of the instruement 1. Measure the diameter of the rod a minimum of forty times at different locations. 2. Again using Microsoft Excel‚ compute the means and sample variances and standard deviations of your measurements. 3. Assess your data for outliers using the
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Chapter 3 Statistical Summary This topic covers: The concept and measures of central tendency for ungrouped and grouped data. The concept and measures of dispersion for ungrouped and grouped data. Introduction When we look at a distribution of data‚ we should consider three characteristics: Shape (chapters 2 and 4) Center / Location (central tendency measurement) Spread (dispersion measurement) With these characteristics‚ we can numerically describe the main features of a data set
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treatment for field workers. Malcolm Gladwell‚ author of Outliers‚ believes in six key components that make an outlier successful: abilities‚ opportunities‚ passion‚ ten-thousand hours‚ cultural advantage‚ and community. Cesar Chavez maintained all of these elements of abilities and opportunities‚ passion and ten-thousand hours‚ as well as cultural advantage and community to complete his goal for field workers‚ which made him a successful outlier. Cesar’s had many abilities and opportunities to guide
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