Statistics (The Easier Way) With R

Statistics (The Easier Way) With R
Author: N. M. Radziwill
Publisher: Nicole M Radziwill
Total Pages: 538
Release: 2017-07-27
Genre: Mathematics
ISBN: 9780996916059
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Download Statistics (The Easier Way) With R Book in PDF, Epub and Kindle

Covers exploratory data analysis, 10 parametric statistical inference tests, and examples using a 7 Step method that blends estimation, analytical solutions, and computational solutions.


Statistics (The Easier Way) With R
Language: en
Pages: 538

Statistics (The Easier Way) With R

Authors: N. M. Radziwill
Categories: Mathematics
Type: BOOK - Published: 2017-07-27 - Publisher: Nicole M Radziwill

GET EBOOK

Covers exploratory data analysis, 10 parametric statistical inference tests, and examples using a 7 Step method that blends estimation, analytical solutions, an
Statistics (the Easier Way) with R
Language: en
Pages: 536

Statistics (the Easier Way) with R

Authors: Nicole M. Radziwill
Categories: Regression analysis
Type: BOOK - Published: 2015-03-21 - Publisher:

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"Designed for beginning and intermediate data scientists, graduate students starting research, undergraduate students taking a first or second applied statistic
Learning Statistics with R
Language: en
Pages: 617

Learning Statistics with R

Authors: Daniel Navarro
Categories: Computers
Type: BOOK - Published: 2013-01-13 - Publisher: Lulu.com

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"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the
Introductory Statistics with R
Language: en
Pages: 370

Introductory Statistics with R

Authors: Peter Dalgaard
Categories: Mathematics
Type: BOOK - Published: 2008-06-27 - Publisher: Springer Science & Business Media

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This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode
Statistics (the Easier Way) with R
Language: en
Pages: 536

Statistics (the Easier Way) with R

Authors: Nicole M. Radziwill
Categories: Regression analysis
Type: BOOK - Published: 2015-03-21 - Publisher:

GET EBOOK

"Designed for beginning and intermediate data scientists, graduate students starting research, undergraduate students taking a first or second applied statistic