Learning Statistics Using R

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Reference & Language, Reference, Research
Cover of the book Learning Statistics Using R by Randall E. Schumacker, SAGE Publications
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Author: Randall E. Schumacker ISBN: 9781483324777
Publisher: SAGE Publications Publication: January 28, 2014
Imprint: SAGE Publications, Inc Language: English
Author: Randall E. Schumacker
ISBN: 9781483324777
Publisher: SAGE Publications
Publication: January 28, 2014
Imprint: SAGE Publications, Inc
Language: English

Providing easy-to-use R script programs that teach descriptive statistics, graphing, and other statistical methods, ***Learning Statistics Using R***shows readers how to run and utilize R, a free integrated statistical suite that has an extensive library of functions. Schumacker’s comprehensive book describes the processing of variables in statistical procedures. Covering a wide range of topics, from probability and sampling distribution to statistical theorems and chi-square, this introductory book helps readers learn not only how to use formulae to calculate statistics, but also how specific statistics fit into the overall research process. Each chapter includes discussion and explanations, tables and graphs, and R functions and outputs to enrich readers' understanding of statistics through statistical computing and modeling.

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Providing easy-to-use R script programs that teach descriptive statistics, graphing, and other statistical methods, ***Learning Statistics Using R***shows readers how to run and utilize R, a free integrated statistical suite that has an extensive library of functions. Schumacker’s comprehensive book describes the processing of variables in statistical procedures. Covering a wide range of topics, from probability and sampling distribution to statistical theorems and chi-square, this introductory book helps readers learn not only how to use formulae to calculate statistics, but also how specific statistics fit into the overall research process. Each chapter includes discussion and explanations, tables and graphs, and R functions and outputs to enrich readers' understanding of statistics through statistical computing and modeling.

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