Probability & Statistics For Engineers & Scientists

Probability & Statistics For Engineers & Scientists

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SKU: SONG0131877119
UPC: 9780131877115
Brand: Pearson
Condition: Used
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With Its Unique Balance Of Theory And Methodology, This Classic Text Provides A Rigorous Introduction To Basic Probability Theory And Statistical Inference, Motivated By Interesting, Relevant Applications. Offers Extensively Updated Coverage, New Problem Sets, And Chapterending Material To Enhance The Books Relevance To Todays Engineers And Scientists. Includes New Problem Sets Demonstrating Updated Applications To Engineering As Well As Biological, Physical, And Computer Science. Emphasizes Key Ideas As Well As The Risks And Hazards Associated With Practical Application Of The Material. Includes New Material On Topics Including: Difference Between Discrete And Continuous Measurements; Binary Data; Quartiles; Importance Of Experimental Design; ;Dummy; Variables; Rules For Expectations And Variances Of Linear Functions; Poisson Distribution; Weibull And L

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

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  • Q: What is the page count of this book? A: This book has eight hundred sixteen pages. It provides comprehensive coverage of probability and statistics for engineers and scientists.
  • Q: What is the binding type of this book? A: This book is bound in hardcover. The hardcover format enhances durability, making it suitable for extensive use.
  • Q: What are the dimensions of this book? A: The dimensions are seven point seven six inches in length, one point five inches in width, and nine point five inches in height. These dimensions make it a manageable size for reading and referencing.
  • Q: How is this book suitable for engineering students? A: This book is ideal for engineering students. It balances theory and methodology, with applications relevant to their studies.
  • Q: Can beginners understand the concepts in this book? A: Yes, beginners can grasp the concepts in this book. It offers a rigorous introduction to basic probability theory and statistical inference.
  • Q: Is this book suitable for self-study? A: Yes, this book is suitable for self-study. It includes new problem sets and chapter-ending material to reinforce learning.
  • Q: How should I store this book? A: Store this book in a cool, dry place. Keeping it away from direct sunlight will help preserve its condition.
  • Q: Can I clean this book if it gets dirty? A: Yes, you can clean this book. Use a soft, dry cloth to gently wipe the cover and pages if necessary.
  • Q: What is the shelf life of this book? A: This book does not have a specific shelf life. As a hardcover text, it is designed to last for many years if properly cared for.
  • Q: What if my book arrives damaged? A: If your book arrives damaged, you should contact the seller for a return or exchange. Most retailers have customer service policies for damaged goods.
  • Q: Are there practice problems in this book? A: Yes, there are new problem sets included in this book. These sets enhance its relevance and application to modern engineering and scientific challenges.
  • Q: What topics are covered in this book? A: This book covers topics like discrete and continuous measurements, binary data, and experimental design. It provides a comprehensive overview of probability and statistics.
  • Q: Is this book frequently updated? A: Yes, this book has extensively updated coverage. It reflects the latest applications in engineering, biology, and computer science.
  • Q: Who is the author of this book? A: The author of this book is Ronald E. Walpole. He is well-regarded in the field of probability and statistics.
  • Q: What audience is this book intended for? A: This book is intended for engineers, scientists, and students. It’s suitable for anyone interested in learning probability and statistics.
  • Q: Does this book include real-world applications? A: Yes, this book includes real-world applications. It motivates theoretical concepts with examples relevant to engineering and science.

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