Probability and Statistics Companion (eBook)

John J. Kinney (Autor)

eBook Download: PDF

2009 | 1. Auflage
280 Seiten
Wiley (Verlag)
978-0-470-48696-2 (ISBN)

Infos

An accessible and engaging introduction to the study of probability and statistics Utilizing entertaining real-world examples, A Probability and Statistics Companion provides aunique, interesting, and accessible introduction to probability and statistics. This one-of-a-kind book delves into practical topics that are crucial in the analysis of sample surveys and experimentation. This handy book contains introductory explanations of the major topics in probability and statistics, including hypothesis testing and regression, while also delving into more advanced topics such as the analysis of sample surveys, analysis of experimental data, and statistical process control. The book recognizes that there are many sampling techniques that can actually improve on simple random sampling, and in addition, an introduction to the design of experiments is provided to reflect recent advances in conducting scientific experiments. This blend of coverage results in the development of a deeper understanding and solid foundation for the study of probability and statistics. Additional topical coverage includes: Probability and sample spaces Choosing the best candidate Acceptance sampling Conditional probability Random variables and discrete probability distributions Waiting time problems Continuous probability distributions Statistical inference Nonparametric methods Least squares and medians Recursions and probability Each chapter contains exercises and explorations for readers who wish to conduct independent projects or investigations. The discussion of most methods is complemented with applications to engaging, real-world scenarios such as winning speeds at the Indianapolis 500 and predicting winners of the World Series. In addition, the book enhances the visual nature of the subject with numerous multidimensional graphical representations of the presented examples. A Probability and Statistics Companion is an excellent book for introductory probability and statistics courses at the undergraduate level. It is also a valuable reference for professionals who use statistical concepts to make informed decisions in their day-to-day work.

Autor

John J. Kinney, PhD, is Professor Emeritus of Mathematics at Rose-Hulman Institute of Technology. He has extensive academic experience and has conducted research in the areas of probability and statistics. In addition to numerous journal articles, Dr. Kinney is the author of Probability: An Introduction with Statistical Applications, also published by Wiley.

Rezensionen

"Each chapter includes exercises and explorations for interested
readers. This book provides teachers and instructors with
interesting real-world examples that can be used as supporting
material for introductory courses on probability and statistics.
Including chapters on more advanced and practical topics, like
stratified sampling, analysis of experimental data and statistical
process control, it may also be of interest to professionals and
engineers who use statistical concepts in their work. Undergraduate
students, who want to delve into practical applications, can use
this book supplementary to a theoretical introduction."
(Zentralblatt MATH, 2010)

"Topics include sampling and sample spaces, basic probability,
discrete and continuous data, statistical inferences, regression
analysis, and experimental design--thus providing broad-based
considerations for introductory course instructors to draw from."
(CHOICE, 2009)

Produkt-Details

• Erscheint lt. Verlag: 8.5.2009
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Schlagworte: Angewandte Wahrscheinlichkeitsrechnung u. Statistik • Applied Probability & Statistics • Statistics • Statistics - Text & Reference • Statistik • Statistik / Lehr- u. Nachschlagewerke • Wahrscheinlichkeitsrechnung
• ISBN-10: 0-470-48696-1 / 0470486961
• ISBN-13: 978-0-470-48696-2 / 9780470486962