Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know
Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions Written in an engaging and inviting manner, Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know presents...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York
Wiley
2015
|
| Ausgabe: | 1st ed |
| Schlagworte: | |
| Online-Zugang: | KUBA1 |
| Zusammenfassung: | Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions Written in an engaging and inviting manner, Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know presents the more subjective side of statistics-the art of data analytics. Each chapter explores a different question using fun, common sense examples that illustrate the concepts, methods, and applications of statistical techniques. Without going into the specifics of theorems, propositions, or formulas, the book effectively demonstrates statistics as a useful problem-solving tool. In addition, the author demonstrates how statistics is a tool for thinking critically, wading through large volumes of information, and answering life's important questions. Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know also features: Plentiful examples throughout aimed to strengthen readers' understanding of the statistical concepts and methods A step-by-step approach to elementary statistical topics such as sampling, hypothesis tests, outlier detection, normality tests, robust statistics, and multiple regression A case study in each chapter that illustrates the use of the presented techniques Highlights of well-known shortcomings that can lead to false conclusions An introduction to advanced techniques such as validation and bootstrapping Featuring examples that are engaging and non-application specific, the book appeals to a broad audience of students and professionals alike, specifically students of undergraduate statistics, managers, medical professionals, and anyone who has to make decisions based on raw data or compiled results |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (203 pages) |
| ISBN: | 9781118856123 9781118856116 |
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Datensatz im Suchindex
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| dewey-ones | 001 - Knowledge |
| dewey-raw | 001.4/22 |
| dewey-search | 001.4/22 |
| dewey-sort | 11.4 222 |
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| discipline | Allgemeines |
| edition | 1st ed |
| format | Electronic eBook |
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| isbn | 9781118856123 9781118856116 |
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| spelling | Jarman, Kristin H. Verfasser aut Beyond Basic Statistics Tips, Tricks, and Techniques Every Data Analyst Should Know 1st ed New York Wiley 2015 © 2015 1 online resource (203 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions Written in an engaging and inviting manner, Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know presents the more subjective side of statistics-the art of data analytics. Each chapter explores a different question using fun, common sense examples that illustrate the concepts, methods, and applications of statistical techniques. Without going into the specifics of theorems, propositions, or formulas, the book effectively demonstrates statistics as a useful problem-solving tool. In addition, the author demonstrates how statistics is a tool for thinking critically, wading through large volumes of information, and answering life's important questions. Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know also features: Plentiful examples throughout aimed to strengthen readers' understanding of the statistical concepts and methods A step-by-step approach to elementary statistical topics such as sampling, hypothesis tests, outlier detection, normality tests, robust statistics, and multiple regression A case study in each chapter that illustrates the use of the presented techniques Highlights of well-known shortcomings that can lead to false conclusions An introduction to advanced techniques such as validation and bootstrapping Featuring examples that are engaging and non-application specific, the book appeals to a broad audience of students and professionals alike, specifically students of undergraduate statistics, managers, medical professionals, and anyone who has to make decisions based on raw data or compiled results Mathematik Statistik Mathematical statistics -- Popular works Mathematics Statistics Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s 1\p DE-604 Erscheint auch als Druck-Ausgabe Jarman, Kristin H . Beyond Basic Statistics : Tips, Tricks, and Techniques Every Data Analyst Should Know 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Jarman, Kristin H. Beyond Basic Statistics Tips, Tricks, and Techniques Every Data Analyst Should Know Mathematik Statistik Mathematical statistics -- Popular works Mathematics Statistics Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4056995-0 |
| title | Beyond Basic Statistics Tips, Tricks, and Techniques Every Data Analyst Should Know |
| title_auth | Beyond Basic Statistics Tips, Tricks, and Techniques Every Data Analyst Should Know |
| title_exact_search | Beyond Basic Statistics Tips, Tricks, and Techniques Every Data Analyst Should Know |
| title_full | Beyond Basic Statistics Tips, Tricks, and Techniques Every Data Analyst Should Know |
| title_fullStr | Beyond Basic Statistics Tips, Tricks, and Techniques Every Data Analyst Should Know |
| title_full_unstemmed | Beyond Basic Statistics Tips, Tricks, and Techniques Every Data Analyst Should Know |
| title_short | Beyond Basic Statistics |
| title_sort | beyond basic statistics tips tricks and techniques every data analyst should know |
| title_sub | Tips, Tricks, and Techniques Every Data Analyst Should Know |
| topic | Mathematik Statistik Mathematical statistics -- Popular works Mathematics Statistics Statistik (DE-588)4056995-0 gnd |
| topic_facet | Mathematik Statistik Mathematical statistics -- Popular works Mathematics Statistics |
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