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Introduction To Mathematical Statistics And Its Applications, An,New
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For Courses In Mathematical Statisticsintroducing The Principles Of Statistics And Data Modeling Introduction To Mathematical Statistics And Its Applications, 6Th Edition Is A Highlevel Calculus Students First Exposure To Mathematical Statistics. This Book Provides Students Who Have Already Taken Three Or More Semesters Of Calculus With The Background To Apply Statistical Principles. Meaty Enough To Guide A Twosemester Course, The Book Touches On Both Statistics And Experimental Design, Which Teaches Students Various Ways To Analyze Data. It Gives Computationalminded Students A Necessary And Realistic Exposure To Identifying Data Models.
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- Q: What are the dimensions of this book? A: The book measures eight point thirty-nine inches in length, one point two inches in width, and ten point twenty-five inches in height. These dimensions make it a substantial hardcover suitable for both home and classroom use.
- Q: How many pages does this book have? A: This book contains seven hundred fifty-two pages. It offers extensive coverage of mathematical statistics and data modeling principles.
- Q: What is the binding type of this book? A: The book is bound in hardcover. This durable binding ensures longevity, making it an excellent choice for repeated use in academic settings.
- Q: What topics does this book cover? A: This book focuses on mathematical statistics and its applications, particularly suitable for students with a strong calculus background. It also includes experimental design and data analysis techniques.
- Q: Is this book suitable for beginners in statistics? A: No, this book is not suitable for beginners. It is designed for students who have completed three or more semesters of calculus, providing a more advanced understanding of statistics.
- Q: What is the recommended reading level for this book? A: The recommended reading level is for upper undergraduate students. It is intended for those taking advanced courses in mathematical statistics.
- Q: How should I store this book? A: Store this book upright on a shelf to maintain its shape and prevent damage. Avoid exposure to direct sunlight to protect the cover and pages from fading.
- Q: Can I use this book for self-study? A: Yes, you can use this book for self-study. It provides comprehensive explanations and examples, making it suitable for independent learners who have a calculus background.
- Q: How do I care for this hardcover book? A: Keep the book in a cool, dry place and wipe it with a soft, dry cloth to remove dust. Avoid bending the cover to maintain its structural integrity.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact the seller for a return or exchange. Most sellers have policies in place to address damaged items.
- Q: Is there a warranty for this book? A: No, books generally do not come with a warranty. However, you can check with the retailer for their return policy.
- Q: How does this book compare to other statistics textbooks? A: This book is more advanced than many introductory statistics textbooks. It integrates theoretical concepts with practical applications, making it ideal for students pursuing higher-level statistics.
- Q: Is this book suitable for a two-semester course? A: Yes, this book is designed to guide a two-semester course in mathematical statistics. It covers a breadth of topics necessary for a thorough understanding.
- Q: What is the author's background? A: The author, Richard Larsen, is known for his expertise in statistics and has authored several other texts in the field. His background supports the credibility of this material.
- Q: Are there any online resources associated with this book? A: Yes, many educational resources and supplemental materials may be available online, typically offered by the publisher, Pearson. Check the book's website for details.
- Q: Can this book be used for graduate studies? A: Yes, this book can be beneficial for graduate studies in statistics. Its rigorous approach is suited for advanced academic work in the field.