An Introduction to Mathematical Statistics and Its Applications,Used
An Introduction to Mathematical Statistics and Its Applications,Used

An Introduction to Mathematical Statistics and Its Applications,Used

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Noted for its integration of realworld data and case studies, this guide offers sound coverage of the theoretical aspects of mathematical statistics. It demonstrates how and when to use statistical methods, while reinforcing the calculus that readers have already mastered. Presents standard statistical techniques in a mathematical context, allowing the reader to see the underlying hypotheses for the applications. Uses case studies and practical workedout examples to motivate statistical reasoning and demonstrate the application of statistical methods to a wide variety of realworld situations. Discusses practical problems in the application of the ideas covered in each chapter, as well as common misunderstandings or faulty approaches. Revised Minitab sections now conform to the Version 14, the latest release. For anyone interested in learning more about mathematical statistics.

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  • Q: How many pages does this book have? A: This book has nine hundred twenty pages. It provides extensive coverage of mathematical statistics with numerous examples.
  • Q: What is the binding type of this book? A: The binding type is hardcover. This ensures durability and makes it suitable for regular use.
  • Q: What are the dimensions of the book? A: The dimensions are eight point two seven inches in length, one point two six inches in width, and nine point two five inches in height. These measurements make it a standard-sized textbook.
  • Q: Who is the author of this book? A: The author is Richard J. Larsen. He is recognized for his contributions to the field of mathematical statistics.
  • Q: What is the main focus of this book? A: The main focus is on mathematical statistics and its real-world applications. It integrates case studies to enhance understanding.
  • Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It reinforces calculus concepts and provides clear explanations of statistical methods.
  • Q: How can I apply the statistical methods from this book? A: You can apply the statistical methods by following the case studies and worked-out examples provided. They demonstrate practical applications in various fields.
  • Q: Does this book cover any common misunderstandings in statistics? A: Yes, it discusses common misunderstandings and faulty approaches. This helps clarify concepts for readers.
  • Q: What kind of statistical techniques are included? A: The book presents standard statistical techniques in a mathematical context. This allows readers to understand underlying hypotheses.
  • Q: Can this book help with practical statistical problems? A: Yes, it addresses practical problems associated with the concepts in each chapter. It's designed to enhance statistical reasoning.
  • Q: What revisions were made in the latest edition? A: The revised Minitab sections conform to Version fourteen. This ensures that the content is up-to-date with the latest software.
  • Q: Is this book recommended for advanced learners? A: While it's suitable for beginners, it can also benefit advanced learners looking for a comprehensive review. It covers both theory and application.
  • Q: How does this book approach real-world data? A: The book integrates real-world data and case studies. This approach helps illustrate the application of statistical methods effectively.
  • Q: Are there practical examples provided in the book? A: Yes, there are numerous practical worked-out examples. These examples serve to motivate statistical reasoning and understanding.
  • Q: What category does this book fall under? A: This book falls under the category of Probability and Statistics. It's a valuable resource for students and professionals alike.
  • Q: Does the book include exercises or problems for practice? A: Yes, the book includes exercises and problems throughout. These allow readers to practice and solidify their understanding of statistical concepts.

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