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Statistics --- Data processing. --- Microsoft Excel (Computer file) --- Microsoft Excel for the Macintosh --- Microsoft Excel for Windows --- Excel (Computer file) --- Excel for Windows --- Microsoft Excel for Windows 95 --- Excel 97 --- Microsoft Excel 97 for Windows --- Excel 2000 --- Excel 2000 for Windows 95 --- Microsoft Excel 2002 --- Microsoft Office Excel 2003 --- Excel 2003 --- Microsoft Excel 2007 --- Excel 2007 --- Excel 2010 --- Microsoft Excel 2013 --- Excel 2013 --- Microsoft Excel 2016 --- Excel 2016

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This book shows you how to analyze data sets systematically and to use Excel 2019 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. The Excel functions used are explained in detail - the procedure can therefore be easily transferred to other data sets. 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 Excel. 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 Excel 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.

Statistical science --- Mathematical statistics --- statistiek --- Statistics --- Data processing. --- Microsoft Excel (Computer file) --- Fulls de càlcul --- Estadística --- Processament de dades --- Microsoft Excel (Fitxer informàtic)

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Informationen aus Daten zu gewinnen und einen Datensatz systematisch zu analysieren ist (k)eine Kunst. Für die aktuelle Version von „Statistik angewandt“ wurden zahlreiche Features ergänzt, um es dem Leser noch einfacher zu machen, Datensätze systematisch zu analysieren. Hilfreiche Elemente sind die Checkpoints, in denen die wichtigsten Punkte jedes Kapitels kurz zusammengefasst sind. In der Rubrik Freak-Wissen werden weiterführende Aspekte angesprochen, um Lust auf mehr zu machen. Zahlreiche Anwendungen und Lösungen sowie weitere Datensätze stehen auf der Internetplattform des Autors zur Verfügung. Alle Beispiele werden mit Hand und R bzw. dem R Commander gerechnet. Das Buch gibt eine einfache Einführung in eine professionelle Statistiksoftware. Schlüsselmerkmale des Buches: - Durch die Diskussion der statistischen Methoden anhand eines Datensatzes wird deutlich, wie die Methoden der Statistik aufeinander aufbauen, und es kann immer mehr Wissen aus einem Datensatz gezogen werden. - Der Fokus des Buches liegt auf der Anwendung und den Konzepten der Statistik, es bietet einen nicht-mathematischen Zugang. - Die diskutierte Vorgehensweise lässt sich leicht auf andere Datensätze übertragen. - Die Anwendung des R Commanders ermöglicht einen guten Einstieg in die Datenanalyse mit R. Der Autor: Prof. Dr. Franz Kronthaler ist Professor für Volkswirtschaftslehre und Statistik an der Hochschule für Wirtschaft und Technik HTW Chur. Seit mehr als 15 Jahren arbeitet er als empirischer Wirtschaftsforscher, hat zahlreiche Forschungsprojekte durchgeführt und Publikationen veröffentlicht. Er unterrichtet seit vielen Jahren Studierende verschiedener Fachrichtungen in der Angewandten Statistik und den weiterführenden Verfahren der Datenanalyse auf Bachelor- und Masterstufe.

Statistics . --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistics for Social Sciences, Humanities, Law. --- Statistics for Life Sciences, Medicine, Health Sciences.

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The objective of this text is to introduce RStudio to practitioners and students and enable them to use R in their everyday work. It is not a statistical textbook, the purpose is to transmit the joy of analyzing data with RStudio. Practitioners and students learn how RStudio can be installed and used, they learn to import data, write scripts and save working results. Furthermore, they learn to employ descriptive statistics and create graphics with RStudio. Additionally, it is shown how RStudio can be used to test hypotheses, run an analysis of variance and regressions. To deepen the learned content, tasks are included with the solutions provided at the end of the textbook. This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland. The Authors Franz Kronthaler is Professor of Statistics and Economics at the University of Applied Sciences of the Grisons in Switzerland. He teaches statistics at the bachelor and master level for more than ten years and authored the German textbook “Statistik angewandt mit Excel – Datenanalyse ist keine Kunst”. Silke Zöllner is a Research Associate at the Institute of Business and Regional Economics at Lucerne University of Applied Sciences and Arts. She is a doctoral candidate and teaches statistics at the bachelor level.

Statistics . --- Statistics and Computing/Statistics Programs. --- Statistics, general. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- R (Computer program language) --- GNU-S (Computer program language) --- Domain-specific programming languages --- R (Llenguatge de programació) --- GNU-S (Llenguatge de programació) --- Llenguatges de domini específic