# A Probability and Statistics Companion

John Wiley & Sons, 06.05.2009 - 280 Seiten
An accessible and engaging introduction to the study of probabilityand statistics

Utilizing entertaining real-world examples, A Probability andStatistics Companion provides aunique, interesting, andaccessible introduction to probability and statistics. Thisone-of-a-kind book delves into practical topics that are crucial inthe analysis of sample surveys and experimentation.

This handy book contains introductory explanations of the majortopics in probability and statistics, including hypothesis testingand regression, while also delving into more advanced topics suchas the analysis of sample surveys, analysis of experimental data,and statistical process control. The book recognizes that there aremany sampling techniques that can actually improve on simple randomsampling, and in addition, an introduction to the design ofexperiments is provided to reflect recent advances in conductingscientific experiments. This blend of coverage results in thedevelopment of a deeper understanding and solid foundation for thestudy of probability and statistics. Additional topical coverageincludes:

• 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 whowish to conduct independent projects or investigations. Thediscussion of most methods is complemented with applications toengaging, real-world scenarios such as winning speeds at theIndianapolis 500 and predicting winners of the World Series. Inaddition, the book enhances the visual nature of the subject withnumerous multidimensional graphical representations of thepresented examples.

A Probability and Statistics Companion is an excellentbook for introductory probability and statistics courses at theundergraduate level. It is also a valuable reference forprofessionals who use statistical concepts to make informeddecisions in their day-to-day work.

### Was andere dazu sagen -Rezension schreiben

Es wurden keine Rezensionen gefunden.

### Inhalt

 1 Probability and Sample Spaces 1 2 Permutations and Combinations Choosing the Best Candidate Acceptance Sampling 18 3 Conditional Probability 37 4 Geometric Probability 48 5 Random Variables and Discrete Probability DistributionsUniform Binomial Hypergeometric and Geometric Distributions 58 6 SevenGame Series in Sports 75 7 Waiting Time Problems 83 8 Continuous Probability Distributions Sums the Normal Distribution and the Central Limit Theorem Bivariate Random Variables 108
 11 Statistical Process Control 155 12 Nonparametric Methods 170 13 Least Squares Medians and the Indy 500 188 14 Sampling 211 15 Design of Experiments 223 16 Recursions and Probability 240 17 Generating Functions and the Central Limit Theorem 251 Bibliography 257

 9 Statistical Inference I 130 10 Statistical Inference II Continuous Probability Distributions IIComparing Two Samples 141
 Index 259 Urheberrecht

### Über den Autor (2009)

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.