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Statistics applied with the R Comman...

Kronthaler, Franz.

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Statistics applied with the R Commander = data analysis is (not) an art /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistics applied with the R Commander/ by Franz Kronthaler.
Reminder of title:	data analysis is (not) an art /
Author:	Kronthaler, Franz.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2024.,
Description:	xxiv, 346 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	Part 1 - Basic Knowledge and Tools to Apply Statistics. - Statistics is Fun -- R and R Commander: A Brief Introduction -- Part 2 - Describing, Nothing But Describing -- Means: How Individuals and Objects Behave on Average -- Dispersion: Deviation from Average Behavior -- Graphics: Visualizing Data -- Correlation: Relationship -- Ratios: Generating New Insights from Old Knowledge -- Part 3 - From Few to All -- From Data to Truth -- Hypotheses: Just a Refinement of the Question -- Normal Distribution and Other Test Distributions. - Hypothesis Testing: What Holds? -- Part 4 - Procedures for Testing Hypotheses -- Mean Test -- Test for Difference in Means with Independent Samples -- Test for Difference in Means with Dependent Samples -- Test for Correlation with Metric, Ordinal, and Nominal Data -- Additional Test Procedures for Nominal Variables -- Part 5 - Regression Analysis -- Simple Linear Regression -- Multiple Regression Analysis -- Part 6 - What Comes Next? -- Brief Report on a Research Question -- Further Statistical Procedures -- Interesting and Further Statistics Books -- Another Dataset for Practice - Intern at a Company -- Appendix.
Contained By:	Springer Nature eBook
Subject:	Statistics. -
Online resource:	https://doi.org/10.1007/978-3-662-69107-6
ISBN:	9783662691076

Statistics applied with the R Commander = data analysis is (not) an art /
Kronthaler, Franz.

Statistics applied with the R Commanderdata analysis is (not) an art /[electronic resource] :by Franz Kronthaler. - Berlin, Heidelberg :Springer Berlin Heidelberg :2024. - xxiv, 346 p. :ill. (chiefly col.), digital ;24 cm.

Part 1 - Basic Knowledge and Tools to Apply Statistics. - Statistics is Fun -- R and R Commander: A Brief Introduction -- Part 2 - Describing, Nothing But Describing -- Means: How Individuals and Objects Behave on Average -- Dispersion: Deviation from Average Behavior -- Graphics: Visualizing Data -- Correlation: Relationship -- Ratios: Generating New Insights from Old Knowledge -- Part 3 - From Few to All -- From Data to Truth -- Hypotheses: Just a Refinement of the Question -- Normal Distribution and Other Test Distributions. - Hypothesis Testing: What Holds? -- Part 4 - Procedures for Testing Hypotheses -- Mean Test -- Test for Difference in Means with Independent Samples -- Test for Difference in Means with Dependent Samples -- Test for Correlation with Metric, Ordinal, and Nominal Data -- Additional Test Procedures for Nominal Variables -- Part 5 - Regression Analysis -- Simple Linear Regression -- Multiple Regression Analysis -- Part 6 - What Comes Next? -- Brief Report on a Research Question -- Further Statistical Procedures -- Interesting and Further Statistics Books -- Another Dataset for Practice - Intern at a Company -- Appendix.

This book shows you how to analyze data sets systematically and to use the R Commander to extract information from data almost effortlessly. Both are (not) an art! The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data. R and the R Commander functions used are explained in detail - the procedure can be easily transferred to other data sets. The book thus provides a simple introduction to professional and free statistical software. Various didactic elements facilitate orientation and working with the book: At the checkpoints, the most important aspects from each chapter are briefly summarized. In the freak knowledge section, more advanced aspects are addressed to whet the appetite for more. All examples are calculated with hand and the R Commander. Numerous applications and solutions as well as further data sets are available on the author's internet platform. This book is a translation of the original German 2nd edition Statistik angewandt mit dem R Commander by Franz Kronthaler, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com) A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. The Author Prof. Dr. Franz Kronthaler is professor of economics and statistics at the University of Applied Sciences Graubünden FHGR. He has been working as an empirical economic researcher for more than 20 years, has conducted numerous research projects and published papers. For many years, he has been teaching students of various disciplines in applied statistics and the advanced methods of data analysis at Bachelor and Master level. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

ISBN: 9783662691076

Standard No.: 10.1007/978-3-662-69107-6doiSubjects--Topical Terms:

517247
Statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.54

Statistics applied with the R Commander = data analysis is (not) an art /
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505 0 $a Part 1 - Basic Knowledge and Tools to Apply Statistics. - Statistics is Fun -- R and R Commander: A Brief Introduction -- Part 2 - Describing, Nothing But Describing -- Means: How Individuals and Objects Behave on Average -- Dispersion: Deviation from Average Behavior -- Graphics: Visualizing Data -- Correlation: Relationship -- Ratios: Generating New Insights from Old Knowledge -- Part 3 - From Few to All -- From Data to Truth -- Hypotheses: Just a Refinement of the Question -- Normal Distribution and Other Test Distributions. - Hypothesis Testing: What Holds? -- Part 4 - Procedures for Testing Hypotheses -- Mean Test -- Test for Difference in Means with Independent Samples -- Test for Difference in Means with Dependent Samples -- Test for Correlation with Metric, Ordinal, and Nominal Data -- Additional Test Procedures for Nominal Variables -- Part 5 - Regression Analysis -- Simple Linear Regression -- Multiple Regression Analysis -- Part 6 - What Comes Next? -- Brief Report on a Research Question -- Further Statistical Procedures -- Interesting and Further Statistics Books -- Another Dataset for Practice - Intern at a Company -- Appendix.
520 $a This book shows you how to analyze data sets systematically and to use the R Commander to extract information from data almost effortlessly. Both are (not) an art! The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data. R and the R Commander functions used are explained in detail - the procedure can be easily transferred to other data sets. The book thus provides a simple introduction to professional and free statistical software. Various didactic elements facilitate orientation and working with the book: At the checkpoints, the most important aspects from each chapter are briefly summarized. In the freak knowledge section, more advanced aspects are addressed to whet the appetite for more. All examples are calculated with hand and the R Commander. Numerous applications and solutions as well as further data sets are available on the author's internet platform. This book is a translation of the original German 2nd edition Statistik angewandt mit dem R Commander by Franz Kronthaler, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com) A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. The Author Prof. Dr. Franz Kronthaler is professor of economics and statistics at the University of Applied Sciences Graubünden FHGR. He has been working as an empirical economic researcher for more than 20 years, has conducted numerous research projects and published papers. For many years, he has been teaching students of various disciplines in applied statistics and the advanced methods of data analysis at Bachelor and Master level. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
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