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This book was written to provide guidance for those who need to apply statistical methods for
practical use. While the book provides detailed guidance on the use of Minitab for calculation,
simply entering data into a software program is not suffici... The best intermediate-level explanation of classical
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resampling is any of a variety of methods for doing one of the following: . Estimating the precision of sample
statistics (medians, variances, percentiles) by using subsets of available data (jackknifing) or drawing randomly with replacement from a set of data points (bootstrapping); Exchanging labels on data points when performing significance tests (permutation tests, also ... This is the
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Juega con tu hijo The purpose of this page is to provide resources in the rapidly growing area of computer-based statistical data analysis. This site provides a web-enhanced course on various topics in statistical data analysis, including SPSS and SAS program listings and introductory routines. Topics include questionnaire design and survey sampling, forecasting techniques, computational tools and demonstrations. This tutorial explains the concept of
principal component analysis used for extracting important variables from a data set in R and Python
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