Schaum's Outline of Theory and Problems of Probability and Statistics

Description

• Author: Murray R. Spiegel

This book gives theory and solved problems for a combined course in probability and mathematical statistics. A calculus background is employed. The first half of the book itself serves as a supplement to the study of probability.



Presents a modern introduction to probability and statistics using a background of calculus. Designed as a reference for research workers or to those interested in the field for self study.



Review:

Self-study to enjoy

Like other mathematical editions of "Schaum's outlines" the second edition of "Probability And Statistics" is again a book, that is perfectly developed for self-study that leeds you to a fundamental understanding of probability and statistics. It is clearly arranged and many tests help you to understand everything of each chapter :-)



Review:

A great introduction to the subject & ideal for self-study



Probability and statistics can be difficult subjects for students, and this Schaum's outline is very helpful both for explaining the theory and showing lots of numerical examples and practice problems in these very much related disciplines. Since a knowledge of probability is necessary to thoroughly understand statistics, that subject is tackled first, in the first four chapters. Statistics is addressed in the last six chapters of the book. The narrative of this book is very thorough, and intersperses explanations with worked out examples throughout. The book starts with basic probability, moves on through random variables, expectation, and special probability functions such as the binomial and Poisson distributions. In the statistics half of the book, there are chapters on sampling and estimation theory, hypotheses testing, curve fitting, regression, correlation, variance analysis, and finally the more advanced topic of nonparametric testing. Appendices offer some valuable distributions and tables. Of course, if you need to study these subjects more in depth such as expectation and detection or random processes, you are going to need other books for further study. However, at just over 400 pages in length, this book provides a good introduction to the topics of probability and statistics for a fraction of what many less enlightening textbooks cost and it is ideal for self-study. I highly recommend it.



Review:

Schaum's Outline of Probability and Statistics

Great. It was delivered in a timely fashion and in excellent condition. The content is exactly what I wanted.



Review:

VERY GOOD FOR INDEPENDENT STUDY



This is one of the few Statistics texts to turn to, if you indulge in any sort of independent study. Its contents are broad, and ramified virtually every aspect of core statistics and probability. I particularly valued the way it handled data analyses and result interpretations.

Whether you are interested in Numerical Descriptive Measures, Discrete Probability, Interval Estimation, or Hypothesis Testing, this book has something to make you happy. And, although its Analysis of Varience fell below my expectation, I was compensated by its handling of both Linear Regression and Non-parametric Tests. The outlook of this book is fine, and its topics are straightforward. It makes learning seem effortless!

However, the main downside I noticed is that this book did not explain theorems (and advanced formulae) in details. As a result of this, science and mathematics students may need to acquire additional book for that purpose. But overall, it remains a valuable text: especially for self-teaching students.



Review:

Excellent supplement and/or text



Statistics and probability are not easy subject matters. You can do a lot to help yourself by solving lots of problems. Thus, if you're taking a course in statistics and/or probability, you should have a copy of this book. In it, you will find a concise, clear review of the theory, followed immediately by many problems with detailed solutions. Nothing is worse than in a math class than getting hung up on some idea dur

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