Author: S. Bernstein
Publisher:
Publish Date: 2002-01-01
Features: This book is rich in content and rigorous in its discussions. For the convenience of self-study, the entire book has a systematic reference system that allows readers to quickly find the content they need to learn. It is suitable for teachers and students of science and engineering in higher education institutions, as well as relevant engineering technical personnel. The book discusses statistical principles and methods commonly used in engineering technology, natural sciences, and life sciences. The book is divided into two volumes. The first volume includes the mathematical knowledge required to study this book, the basic principles and methods of descriptive statistics, and the theoretical foundation of inferential statistics, as well as probability theory. Each chapter in the book follows the same format: The first part outlines all new concepts and methods in the form of an outline, along with examples with complete solutions. The second part is the solutions to exercises, including many applications of theory. The third part is supplementary exercises, which only provide answers. This section is designed to test readers' understanding of the content in the book.
Principles of Statistics (Volume 1): Descriptive Statistics and Probability: Descriptive Statistics and Probability
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