Introductory statistics and analytics: a resampling perspective
"Developed by the founder of Statistics.com, one of the first online e-learning companies in the discipline, and class-tested there for over ten years, this intuitive book provides a brief but essential introduction to statistics for those with little or no prior exposure to basic probability a...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, New Jersey
Wiley
[2015]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781118881354/?ar |
| Zusammenfassung: | "Developed by the founder of Statistics.com, one of the first online e-learning companies in the discipline, and class-tested there for over ten years, this intuitive book provides a brief but essential introduction to statistics for those with little or no prior exposure to basic probability and statistics. Its simulation/resampling approach (drawing numbers or data from a hat) demystifies traditional formulas and demonstrates the fundamental basis for statistical inference. Topics covered include probability, the Normal distribution, hypothesis testing, independence, conditional probability, Bayes Rule, 2-way tables, random sampling, and confidence intervals. Special connections to statistical distance, recommender systems, predictive modeling, and general analytics are systematically woven throughout the text. The aim is to apply statistically valid designs to basic studies, and test hypotheses regarding proportions and means. The goal is real understanding, not cookbook learning. Even the most anxious novice (as well as the expert) will benefit. The book meets all of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) for the introductory statistics course, as developed in 2005 by a group of noted educators and with funding from the American Statistical Association. Excel and StatCrunch are the software systems of choice. R subroutines are available on an author-maintained web site. The book is available in print and online"-- "This book provides a brief but essential introduction to statistics for those with little or no prior exposure to basic probability and statistics. Topics covered include probability, the Normal distribution, hypothesis testing, independence, conditional probability, Bayes Rule, 2-way tables, random sampling, and confidence intervals"-- |
| Beschreibung: | Includes bibliographical references and index. - Online resource; title from digital title page (viewed on December 16, 2014) |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781118881668 1118881664 1118881354 9781118881354 |
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| spelling | Bruce, Peter C. 1953- VerfasserIn aut Introductory statistics and analytics a resampling perspective Peter C. Bruce, Institute for Statistics Education Hoboken, New Jersey Wiley [2015] 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from digital title page (viewed on December 16, 2014) "Developed by the founder of Statistics.com, one of the first online e-learning companies in the discipline, and class-tested there for over ten years, this intuitive book provides a brief but essential introduction to statistics for those with little or no prior exposure to basic probability and statistics. Its simulation/resampling approach (drawing numbers or data from a hat) demystifies traditional formulas and demonstrates the fundamental basis for statistical inference. Topics covered include probability, the Normal distribution, hypothesis testing, independence, conditional probability, Bayes Rule, 2-way tables, random sampling, and confidence intervals. Special connections to statistical distance, recommender systems, predictive modeling, and general analytics are systematically woven throughout the text. The aim is to apply statistically valid designs to basic studies, and test hypotheses regarding proportions and means. The goal is real understanding, not cookbook learning. Even the most anxious novice (as well as the expert) will benefit. The book meets all of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) for the introductory statistics course, as developed in 2005 by a group of noted educators and with funding from the American Statistical Association. Excel and StatCrunch are the software systems of choice. R subroutines are available on an author-maintained web site. The book is available in print and online"-- "This book provides a brief but essential introduction to statistics for those with little or no prior exposure to basic probability and statistics. Topics covered include probability, the Normal distribution, hypothesis testing, independence, conditional probability, Bayes Rule, 2-way tables, random sampling, and confidence intervals"-- English. Statistics Statistique statistics MATHEMATICS ; Probability & Statistics ; General BUSINESS & ECONOMICS ; Statistics MATHEMATICS ; Applied Statistiques 9781118881354 Erscheint auch als Druck-Ausgabe 9781118881354 |
| spellingShingle | Bruce, Peter C. 1953- Introductory statistics and analytics a resampling perspective Statistics Statistique statistics MATHEMATICS ; Probability & Statistics ; General BUSINESS & ECONOMICS ; Statistics MATHEMATICS ; Applied Statistiques |
| title | Introductory statistics and analytics a resampling perspective |
| title_auth | Introductory statistics and analytics a resampling perspective |
| title_exact_search | Introductory statistics and analytics a resampling perspective |
| title_full | Introductory statistics and analytics a resampling perspective Peter C. Bruce, Institute for Statistics Education |
| title_fullStr | Introductory statistics and analytics a resampling perspective Peter C. Bruce, Institute for Statistics Education |
| title_full_unstemmed | Introductory statistics and analytics a resampling perspective Peter C. Bruce, Institute for Statistics Education |
| title_short | Introductory statistics and analytics |
| title_sort | introductory statistics and analytics a resampling perspective |
| title_sub | a resampling perspective |
| topic | Statistics Statistique statistics MATHEMATICS ; Probability & Statistics ; General BUSINESS & ECONOMICS ; Statistics MATHEMATICS ; Applied Statistiques |
| topic_facet | Statistics Statistique statistics MATHEMATICS ; Probability & Statistics ; General BUSINESS & ECONOMICS ; Statistics MATHEMATICS ; Applied Statistiques |
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