Introductory Statistics for Data Analysis

• Verfasst von: Ewens, Warren J. [VerfasserIn]
• Verfasst von: Brumberg, Katherine [VerfasserIn]
• Titel: Introductory Statistics for Data Analysis
• Verf.angabe: by Warren J. Ewens, Katherine Brumberg
• Ausgabe: 1st ed. 2023.
• Verlagsort: Cham
• Verlagsort: Cham
• Verlag: Springer Nature Switzerland
• Verlag: Imprint: Springer
• E-Jahr: 2023
• Jahr: 2023.
• Jahr: 2023.
• Umfang: 1 Online-Ressource(X, 273 p. 15 illus.)
• ISBN: 978-3-031-28189-1
• DOI: doi:10.1007/978-3-031-28189-1
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe: Ewens, W. J., 1937 - : Introductory Statistics for Data Analysis. - Cham : Springer, 2023. - x, 273 Seiten
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• K10plus-PPN: 1845512200
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

I INTRODUCTION -- 1 Statistics and probability theory -- II PROBABILITY THEORY -- 2 Events -- 3 Probabilities of events -- 4 Probability: One Discrete Random Variable -- 5 Many Random Variables -- 6 Continuous Random Variables -- III STATISTICS -- 7 Introduction -- 8 Estimation of a parameter -- 9 Testing hypotheses about the value of a parameter -- 10 Testing for the equality of two binomial parameters -- 10 Testing for the equality of two binomial parameters -- 11 Chi-square tests (i): tables bigger than two-by-two -- 13 Tests on means -- 14 Non-parametric tests -- Useful charts -- Solutions to problems.

Abstract

This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter estimation with confidence intervals, hypothesis testing, chi-square tests, t tests, and several non-parametric tests. Flow charts are frequently used to facilitate an understanding of the material considered. The examples and problems in the book all concern simple data sets which can be analyzed with a simple calculator; however, the R code required to complete many examples and problems is provided as well for those that are interested.