Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 11,16
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 64,22
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 81,66
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 97 pages. 9.45x6.61x0.21 inches. In Stock.
Sprache: Englisch
Verlag: Springer, Berlin, Springer, 2026
ISBN 10: 3032120330 ISBN 13: 9783032120335
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive treatment of the logic behind hypothesis testing. This updated edition covers frequentist (classical) and Bayesian approaches to interpretation of the results of a statistical hypothesis test. In a new chapter, nonparametric hypothesis testing is also discussed. The author describes the most commonly used statistical tests and provides instructions for how to perform them using Microsoft Office Excel. Readers will learn how to interpret P-values under a variety of conditions including a single hypothesis test, a collection of hypothesis tests, and tests performed on accumulating data. This new edition includes the chi-square test as a method for nominal data. The author provides frameworks for how to plan the size of a sample and how to select which test to use for a data set. This second edition will be of interest to researchers, graduate students, and anyone who has to interpret the results of statistical analyses.
Sprache: Englisch
Verlag: Springer International Publishing, 2023
ISBN 10: 3031042042 ISBN 13: 9783031042041
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive treatment of the logic behind hypothesis testing. Readers will learn to understand statistical hypothesis testing and how to interpret P-values under a variety of conditions including a single hypothesis test, a collection of hypothesis tests, and tests performed on accumulating data. The author explains how a hypothesis test can be interpreted to draw conclusions, and descriptions of the logic behind frequentist (classical) and Bayesian approaches to interpret the results of a statistical hypothesis test are provided. Both approaches have their own strengths and challenges, and a special challenge presents itself when hypothesis tests are repeatedly performed on accumulating data. Possible pitfalls and methods to interpret hypothesis tests when accumulating data are also analyzed. This book will be of interest to researchers, graduate students, and anyone who has to interpret the results of statistical analyses.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Statistical Hypothesis Testing with Microsoft ® Office Excel ® | Robert Hirsch | Taschenbuch | Synthesis Lectures on Mathematics & Statistics | x | Englisch | 2023 | Springer | EAN 9783031042041 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, Berlin, Springer, 2022
ISBN 10: 3031042018 ISBN 13: 9783031042010
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive treatment of the logic behind hypothesis testing. Readers will learn to understand statistical hypothesis testing and how to interpret P-values under a variety of conditions including a single hypothesis test, a collection of hypothesis tests, and tests performed on accumulating data. The author explains how a hypothesis test can be interpreted to draw conclusions, and descriptions of the logic behind frequentist (classical) and Bayesian approaches to interpret the results of a statistical hypothesis test are provided. Both approaches have their own strengths and challenges, and a special challenge presents itself when hypothesis tests are repeatedly performed on accumulating data. Possible pitfalls and methods to interpret hypothesis tests when accumulating data are also analyzed. This book will be of interest to researchers, graduate students, and anyone who has to interpret the results of statistical analyses.